From 75e70b16132d7b69ed1010151de1cec71b54cf9a Mon Sep 17 00:00:00 2001 From: Marie-Jean Meurs Date: Fri, 29 May 2015 15:08:33 -0400 Subject: [PATCH] mycoSORT: user friendly updated version --- .gitignore | 8 + arff/triage0_50_ngrams_size1_stopwords.arff | 38 + arff/triage1_50_ngrams_size1_stopwords.arff | 38 + build.xml | 153 +++ corpus/mycoSORTSampleTriagecorpus_test.xml | 468 +++++++ .../mycoSORTSampleTriagecorpus_train_50.xml | 468 +++++++ features/docIDs.txt | 1198 +++++++++++++++++ src/analyse/.gitignore | 1 + src/analyse/Extractor.java | 455 +++++++ src/analyse/FeatureExtractor.java | 544 ++++++++ src/analyse/NgramExtractor.java | 309 +++++ src/arffmatrix/.gitignore | 2 + src/arffmatrix/BuildModel.class | Bin 0 -> 5997 bytes src/arffmatrix/BuildModel.java | 317 +++++ src/arffvector/.gitignore | 7 + src/arffvector/CreateVector.java | 894 ++++++++++++ src/classifier/.gitignore | 3 + src/classifier/Trainer.java | 483 +++++++ src/configure/.gitignore | 2 + src/configure/ConfigConstants.java | 220 +++ src/filter/InformedFilter.java | 182 +++ src/filter/NaiveFilter.java | 139 ++ src/preprocessing/ConcatXML.java | 717 ++++++++++ src/preprocessing/CorpusHandler.java | 754 +++++++++++ src/preprocessing/SampleCorpus.java | 233 ++++ usermanual/.gitignore | 12 + usermanual/Makefile | 31 + usermanual/datetime.sty | 487 +++++++ usermanual/fmtcount.sty | 587 ++++++++ usermanual/graphics/Makefile | 1 + usermanual/graphics/concordialogo.png | Bin 0 -> 14639 bytes usermanual/graphics/genomicslogogreen.jpg | Bin 0 -> 418856 bytes usermanual/graphics/genozymeslogo.jpg | Bin 0 -> 9930 bytes usermanual/usefulsymbols.sty | 55 + usermanual/usermanual.bib | 349 +++++ usermanual/usermanual.pdf | Bin 0 -> 665190 bytes usermanual/usermanual.tex | 600 +++++++++ 37 files changed, 9755 insertions(+) create mode 100644 .gitignore create mode 100644 arff/triage0_50_ngrams_size1_stopwords.arff create mode 100644 arff/triage1_50_ngrams_size1_stopwords.arff create mode 100644 build.xml create mode 100644 corpus/mycoSORTSampleTriagecorpus_test.xml create mode 100644 corpus/mycoSORTSampleTriagecorpus_train_50.xml create mode 100644 features/docIDs.txt create mode 100644 src/analyse/.gitignore create mode 100644 src/analyse/Extractor.java create mode 100644 src/analyse/FeatureExtractor.java create mode 100644 src/analyse/NgramExtractor.java create mode 100644 src/arffmatrix/.gitignore create mode 100644 src/arffmatrix/BuildModel.class create mode 100644 src/arffmatrix/BuildModel.java create mode 100644 src/arffvector/.gitignore create mode 100644 src/arffvector/CreateVector.java create mode 100644 src/classifier/.gitignore create mode 100644 src/classifier/Trainer.java create mode 100644 src/configure/.gitignore create mode 100644 src/configure/ConfigConstants.java create mode 100644 src/filter/InformedFilter.java create mode 100644 src/filter/NaiveFilter.java create mode 100644 src/preprocessing/ConcatXML.java create mode 100644 src/preprocessing/CorpusHandler.java create mode 100644 src/preprocessing/SampleCorpus.java create mode 100644 usermanual/.gitignore create mode 100644 usermanual/Makefile create mode 100644 usermanual/datetime.sty create mode 100644 usermanual/fmtcount.sty create mode 100644 usermanual/graphics/Makefile create mode 100644 usermanual/graphics/concordialogo.png create mode 100644 usermanual/graphics/genomicslogogreen.jpg create mode 100644 usermanual/graphics/genozymeslogo.jpg create mode 100644 usermanual/usefulsymbols.sty create mode 100644 usermanual/usermanual.bib create mode 100644 usermanual/usermanual.pdf create mode 100644 usermanual/usermanual.tex diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1cde967 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +# Project source # +################### +*.project +*.classpath + +# Package Files # +################# +*.jar diff --git a/arff/triage0_50_ngrams_size1_stopwords.arff b/arff/triage0_50_ngrams_size1_stopwords.arff new file mode 100644 index 0000000..c7525b4 --- /dev/null +++ b/arff/triage0_50_ngrams_size1_stopwords.arff @@ -0,0 +1,38 @@ +% Weka training file - HIV triage - 2015 + +@RELATION triage +@ATTRIBUTE docID REAL %PMID of paper +@ATTRIBUTE Ngram0trees REAL %trees +@ATTRIBUTE Ngram1model REAL %model +@ATTRIBUTE Ngram2triage REAL %triage +@ATTRIBUTE Ngram3genes REAL %genes +@ATTRIBUTE Ngram4sampling REAL %sampling +@ATTRIBUTE Ngram5classification REAL %classification +@ATTRIBUTE Ngram6processing REAL %processing +@ATTRIBUTE Ngram7fungal REAL %fungal +@ATTRIBUTE Ngram8enzymes REAL %enzymes +@ATTRIBUTE Ngram9manual REAL %manual +@ATTRIBUTE Ngram10literature REAL %literature +@ATTRIBUTE Ngram11annotation REAL %annotation +@ATTRIBUTE Ngram12mycoclapfungalgenomicsca REAL %mycoclapfungalgenomicsca +@ATTRIBUTE Ngram13machine REAL %machine +@ATTRIBUTE Ngram14first REAL %first +@ATTRIBUTE Ngram15features REAL %features +@ATTRIBUTE Ngram16mycoclap REAL %mycoclap +@ATTRIBUTE Ngram17results REAL %results +@ATTRIBUTE Ngram18abstracttext REAL %abstracttext +@ATTRIBUTE Ngram19task REAL %task +@ATTRIBUTE Ngram20http REAL %http +@ATTRIBUTE Ngram21support REAL %support +@ATTRIBUTE Ngram22learning REAL %learning +@ATTRIBUTE Ngram23database REAL %database +@ATTRIBUTE Ngram24curation REAL %curation +@ATTRIBUTE Ngram25logistic REAL %logistic +@ATTRIBUTE Ngram26applications REAL %applications +@ATTRIBUTE Ngram27articletitle REAL %articletitle +@ATTRIBUTE class {positive, negative} +@DATA + +25754864,0,0,0,2,0,0,2,5,3,1,1,2,2,0,1,0,6,1,0,0,2,2,0,4,2,0,2,0,negative +25551575,2,4,3,0,2,2,0,0,0,1,2,0,0,4,1,2,0,1,0,2,0,2,3,0,1,2,0,0,negative + diff --git a/arff/triage1_50_ngrams_size1_stopwords.arff b/arff/triage1_50_ngrams_size1_stopwords.arff new file mode 100644 index 0000000..ddfc07d --- /dev/null +++ b/arff/triage1_50_ngrams_size1_stopwords.arff @@ -0,0 +1,38 @@ +% Weka test file - HIV triage - 2015 + +@RELATION triage +@ATTRIBUTE docID REAL %PMID of paper +@ATTRIBUTE Ngram0trees REAL %trees +@ATTRIBUTE Ngram1model REAL %model +@ATTRIBUTE Ngram2triage REAL %triage +@ATTRIBUTE Ngram3genes REAL %genes +@ATTRIBUTE Ngram4sampling REAL %sampling +@ATTRIBUTE Ngram5classification REAL %classification +@ATTRIBUTE Ngram6processing REAL %processing +@ATTRIBUTE Ngram7fungal REAL %fungal +@ATTRIBUTE Ngram8enzymes REAL %enzymes +@ATTRIBUTE Ngram9manual REAL %manual +@ATTRIBUTE Ngram10literature REAL %literature +@ATTRIBUTE Ngram11annotation REAL %annotation +@ATTRIBUTE Ngram12mycoclapfungalgenomicsca REAL %mycoclapfungalgenomicsca +@ATTRIBUTE Ngram13machine REAL %machine +@ATTRIBUTE Ngram14first REAL %first +@ATTRIBUTE Ngram15features REAL %features +@ATTRIBUTE Ngram16mycoclap REAL %mycoclap +@ATTRIBUTE Ngram17results REAL %results +@ATTRIBUTE Ngram18abstracttext REAL %abstracttext +@ATTRIBUTE Ngram19task REAL %task +@ATTRIBUTE Ngram20http REAL %http +@ATTRIBUTE Ngram21support REAL %support +@ATTRIBUTE Ngram22learning REAL %learning +@ATTRIBUTE Ngram23database REAL %database +@ATTRIBUTE Ngram24curation REAL %curation +@ATTRIBUTE Ngram25logistic REAL %logistic +@ATTRIBUTE Ngram26applications REAL %applications +@ATTRIBUTE Ngram27articletitle REAL %articletitle +@ATTRIBUTE class {positive, negative} +@DATA + +25754864,0,0,0,2,0,0,2,5,3,1,1,2,2,0,1,0,6,1,0,0,2,2,0,4,2,0,2,0,negative +25551575,2,4,3,0,2,2,0,0,0,1,2,0,0,4,1,2,0,1,0,2,0,2,3,0,1,2,0,0,negative + diff --git a/build.xml b/build.xml new file mode 100644 index 0000000..efbea36 --- /dev/null +++ b/build.xml @@ -0,0 +1,153 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/corpus/mycoSORTSampleTriagecorpus_test.xml b/corpus/mycoSORTSampleTriagecorpus_test.xml new file mode 100644 index 0000000..bdd6cf2 --- /dev/null +++ b/corpus/mycoSORTSampleTriagecorpus_test.xml @@ -0,0 +1,468 @@ + + + + 25754864 + + 2015 + 03 + 10 + + + 2015 + 03 + 18 + +
+ + 1758-0463 + + 2015 + + 2015 + + + Database : the journal of biological databases and curation + Database (Oxford) + + mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. + + + + 10.1093/database/bav008 + bav008 + + Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of these enzymes, spurring fungal genome sequencing efforts to identify and catalogue the genes that encode them. To facilitate the functional annotation of these genes, biochemical data on over 800 fungal lignocellulose-degrading enzymes have been collected from the literature and organized into the searchable database, mycoCLAP (http://mycoclap.fungalgenomics.ca). First implemented in 2011, and updated as described here, mycoCLAP is capable of ranking search results according to closest biochemically characterized homologues: this improves the quality of the annotation, and significantly decreases the time required to annotate novel sequences. The database is freely available to the scientific community, as are the open source applications based on natural language processing developed to support the manual curation of mycoCLAP. Database URL: http://mycoclap.fungalgenomics.ca. + © The Author(s) 2015. Published by Oxford University Press. + + + + Strasser + Kimchi + K + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + McDonnell + Erin + E + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Nyaga + Carol + C + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Wu + Min + M + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Wu + Sherry + S + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Almeida + Hayda + H + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Meurs + Marie-Jean + MJ + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Kosseim + Leila + L + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Powlowski + Justin + J + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Butler + Greg + G + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA gregb@encs.concordia.ca. + + + + Tsang + Adrian + A + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + eng + + Journal Article + Research Support, Non-U.S. Gov't + + + 2015 + 03 + 08 + +
+ + England + Database (Oxford) + 101517697 + 1758-0463 + + IM + + + Nat Biotechnol. 2004 Jun;22(6):695-700 + 15122302 + + + Appl Environ Microbiol. 2013 Aug;79(15):4620-34 + 23709508 + + + J Mol Biol. 1990 Oct 5;215(3):403-10 + 2231712 + + + Nature. 2008 Sep 4;455(7209):47-50 + 18769432 + + + Nucleic Acids Res. 2009 Jan;37(Database issue):D233-8 + 18838391 + + + Nucleic Acids Res. 2009 Jan;37(Database issue):D588-92 + 18984617 + + + Database (Oxford). 2011;2011:bar020 + 21622642 + + + Genome Res. 2011 Jun;21(6):885-97 + 21543515 + + + Nat Methods. 2011;8(10):785-6 + 21959131 + + + Nat Biotechnol. 2011 Oct;29(10):922-7 + 21964414 + + + Enzyme Microb Technol. 2011 Apr 7;48(4-5):397-403 + 22112956 + + + BMC Med Inform Decis Mak. 2012;12 Suppl 1:S5 + 22595090 + + + Science. 2012 Jun 29;336(6089):1715-9 + 22745431 + + + Nucleic Acids Res. 2013 Jan;41(Database issue):D43-7 + 23161681 + + + Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42 + 23193287 + + + Nat Genet. 2000 May;25(1):25-9 + 10802651 + + + PLoS One. 2014;9(12):e115892 + 25551575 + + + PMC4352688 + + + + + 2015 + + + + + 2015 + 3 + 11 + 6 + 0 + + + 2015 + 3 + 11 + 6 + 0 + + + 2015 + 3 + 11 + 6 + 0 + + + epublish + + bav008 + 10.1093/database/bav008 + 25754864 + PMC4352688 + + + + + + + 25551575 + + 2015 + 01 + 01 + + + 2015 + 01 + 13 + +
+ + 1932-6203 + + 9 + 12 + + 2014 + + + PloS one + PLoS ONE + + Machine learning for biomedical literature triage. + + e115892 + + 10.1371/journal.pone.0115892 + + This paper presents a machine learning system for supporting the first task of the biological literature manual curation process, called triage. We compare the performance of various classification models, by experimenting with dataset sampling factors and a set of features, as well as three different machine learning algorithms (Naive Bayes, Support Vector Machine and Logistic Model Trees). The results show that the most fitting model to handle the imbalanced datasets of the triage classification task is obtained by using domain relevant features, an under-sampling technique, and the Logistic Model Trees algorithm. + + + + Almeida + Hayda + H + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada. + + + + Meurs + Marie-Jean + MJ + + Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + Kosseim + Leila + L + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada. + + + + Butler + Greg + G + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada; Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + Tsang + Adrian + A + + Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + eng + + Journal Article + Research Support, Non-U.S. Gov't + + + 2014 + 12 + 31 + +
+ + United States + PLoS One + 101285081 + 1932-6203 + + IM + + + Proc AMIA Symp. 2001;:17-21 + 11825149 + + + Artif Intell Med. 2005 Sep-Oct;35(1-2):121-34 + 16024240 + + + Mol Cell. 2006 Mar 3;21(5):589-94 + 16507357 + + + Bioinformatics. 2006 Mar 15;22(6):658-64 + 16287934 + + + Artif Intell Med. 2006 May;37(1):7-18 + 16233974 + + + Nature. 2008 Sep 4;455(7209):47-50 + 18769432 + + + IEEE Trans Syst Man Cybern B Cybern. 2009 Feb;39(1):281-8 + 19068445 + + + Database (Oxford). 2011;2011:bar020 + 21622642 + + + J Integr Bioinform. 2011;8(3):176 + 21926439 + + + Database (Oxford). 2012;2012:bas020 + 22513129 + + + BMC Med Inform Decis Mak. 2012;12 Suppl 1:S5 + 22595090 + + + PLoS One. 2013;8(6):e65848 + 23785456 + + + PLoS One. 2013;8(12):e80503 + 24312478 + + + PLoS One. 2014;9(4):e91315 + 24705246 + + + PLoS One. 2014;9(7):e102039 + 25036529 + + + PMC4281078 + + + + + 2014 + + + + + 2014 + 9 + 4 + + + 2014 + 11 + 27 + + + 2014 + 12 + 31 + + + 2015 + 1 + 1 + 6 + 0 + + + 2015 + 1 + 1 + 6 + 0 + + + 2015 + 1 + 1 + 6 + 0 + + + epublish + + 10.1371/journal.pone.0115892 + PONE-D-14-39858 + 25551575 + PMC4281078 + + + + + diff --git a/corpus/mycoSORTSampleTriagecorpus_train_50.xml b/corpus/mycoSORTSampleTriagecorpus_train_50.xml new file mode 100644 index 0000000..bdd6cf2 --- /dev/null +++ b/corpus/mycoSORTSampleTriagecorpus_train_50.xml @@ -0,0 +1,468 @@ + + + + 25754864 + + 2015 + 03 + 10 + + + 2015 + 03 + 18 + +
+ + 1758-0463 + + 2015 + + 2015 + + + Database : the journal of biological databases and curation + Database (Oxford) + + mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. + + + + 10.1093/database/bav008 + bav008 + + Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of these enzymes, spurring fungal genome sequencing efforts to identify and catalogue the genes that encode them. To facilitate the functional annotation of these genes, biochemical data on over 800 fungal lignocellulose-degrading enzymes have been collected from the literature and organized into the searchable database, mycoCLAP (http://mycoclap.fungalgenomics.ca). First implemented in 2011, and updated as described here, mycoCLAP is capable of ranking search results according to closest biochemically characterized homologues: this improves the quality of the annotation, and significantly decreases the time required to annotate novel sequences. The database is freely available to the scientific community, as are the open source applications based on natural language processing developed to support the manual curation of mycoCLAP. Database URL: http://mycoclap.fungalgenomics.ca. + © The Author(s) 2015. Published by Oxford University Press. + + + + Strasser + Kimchi + K + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + McDonnell + Erin + E + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Nyaga + Carol + C + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Wu + Min + M + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Wu + Sherry + S + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Almeida + Hayda + H + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Meurs + Marie-Jean + MJ + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Kosseim + Leila + L + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Powlowski + Justin + J + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + Butler + Greg + G + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA gregb@encs.concordia.ca. + + + + Tsang + Adrian + A + + Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA Centre for Structural and Functional Genomics, Department of Computer Science and Software Engineering, Department of Chemistry and Biochemistry, and Department of Biology Concordia University, Montréal, QC, USA. + + + + eng + + Journal Article + Research Support, Non-U.S. Gov't + + + 2015 + 03 + 08 + +
+ + England + Database (Oxford) + 101517697 + 1758-0463 + + IM + + + Nat Biotechnol. 2004 Jun;22(6):695-700 + 15122302 + + + Appl Environ Microbiol. 2013 Aug;79(15):4620-34 + 23709508 + + + J Mol Biol. 1990 Oct 5;215(3):403-10 + 2231712 + + + Nature. 2008 Sep 4;455(7209):47-50 + 18769432 + + + Nucleic Acids Res. 2009 Jan;37(Database issue):D233-8 + 18838391 + + + Nucleic Acids Res. 2009 Jan;37(Database issue):D588-92 + 18984617 + + + Database (Oxford). 2011;2011:bar020 + 21622642 + + + Genome Res. 2011 Jun;21(6):885-97 + 21543515 + + + Nat Methods. 2011;8(10):785-6 + 21959131 + + + Nat Biotechnol. 2011 Oct;29(10):922-7 + 21964414 + + + Enzyme Microb Technol. 2011 Apr 7;48(4-5):397-403 + 22112956 + + + BMC Med Inform Decis Mak. 2012;12 Suppl 1:S5 + 22595090 + + + Science. 2012 Jun 29;336(6089):1715-9 + 22745431 + + + Nucleic Acids Res. 2013 Jan;41(Database issue):D43-7 + 23161681 + + + Nucleic Acids Res. 2013 Jan;41(Database issue):D36-42 + 23193287 + + + Nat Genet. 2000 May;25(1):25-9 + 10802651 + + + PLoS One. 2014;9(12):e115892 + 25551575 + + + PMC4352688 + + + + + 2015 + + + + + 2015 + 3 + 11 + 6 + 0 + + + 2015 + 3 + 11 + 6 + 0 + + + 2015 + 3 + 11 + 6 + 0 + + + epublish + + bav008 + 10.1093/database/bav008 + 25754864 + PMC4352688 + + + + + + + 25551575 + + 2015 + 01 + 01 + + + 2015 + 01 + 13 + +
+ + 1932-6203 + + 9 + 12 + + 2014 + + + PloS one + PLoS ONE + + Machine learning for biomedical literature triage. + + e115892 + + 10.1371/journal.pone.0115892 + + This paper presents a machine learning system for supporting the first task of the biological literature manual curation process, called triage. We compare the performance of various classification models, by experimenting with dataset sampling factors and a set of features, as well as three different machine learning algorithms (Naive Bayes, Support Vector Machine and Logistic Model Trees). The results show that the most fitting model to handle the imbalanced datasets of the triage classification task is obtained by using domain relevant features, an under-sampling technique, and the Logistic Model Trees algorithm. + + + + Almeida + Hayda + H + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada. + + + + Meurs + Marie-Jean + MJ + + Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + Kosseim + Leila + L + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada. + + + + Butler + Greg + G + + Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada; Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + Tsang + Adrian + A + + Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. + + + + eng + + Journal Article + Research Support, Non-U.S. Gov't + + + 2014 + 12 + 31 + +
+ + United States + PLoS One + 101285081 + 1932-6203 + + IM + + + Proc AMIA Symp. 2001;:17-21 + 11825149 + + + Artif Intell Med. 2005 Sep-Oct;35(1-2):121-34 + 16024240 + + + Mol Cell. 2006 Mar 3;21(5):589-94 + 16507357 + + + Bioinformatics. 2006 Mar 15;22(6):658-64 + 16287934 + + + Artif Intell Med. 2006 May;37(1):7-18 + 16233974 + + + Nature. 2008 Sep 4;455(7209):47-50 + 18769432 + + + IEEE Trans Syst Man Cybern B Cybern. 2009 Feb;39(1):281-8 + 19068445 + + + Database (Oxford). 2011;2011:bar020 + 21622642 + + + J Integr Bioinform. 2011;8(3):176 + 21926439 + + + Database (Oxford). 2012;2012:bas020 + 22513129 + + + BMC Med Inform Decis Mak. 2012;12 Suppl 1:S5 + 22595090 + + + PLoS One. 2013;8(6):e65848 + 23785456 + + + PLoS One. 2013;8(12):e80503 + 24312478 + + + PLoS One. 2014;9(4):e91315 + 24705246 + + + PLoS One. 2014;9(7):e102039 + 25036529 + + + PMC4281078 + + + + + 2014 + + + + + 2014 + 9 + 4 + + + 2014 + 11 + 27 + + + 2014 + 12 + 31 + + + 2015 + 1 + 1 + 6 + 0 + + + 2015 + 1 + 1 + 6 + 0 + + + 2015 + 1 + 1 + 6 + 0 + + + epublish + + 10.1371/journal.pone.0115892 + PONE-D-14-39858 + 25551575 + PMC4281078 + + + + + diff --git a/features/docIDs.txt b/features/docIDs.txt new file mode 100644 index 0000000..8da8a8a --- /dev/null +++ b/features/docIDs.txt @@ -0,0 +1,1198 @@ +14565843 positive +23073100 negative +11501467 negative +20208428 positive +9074500 negative +986853 negative +8787388 positive +20826217 positive +11471729 positive +16059706 negative +11298744 positive +21168763 negative +10424099 negative +18415096 positive +15866877 positive +2396985 negative +7838157 negative +44415 negative +11170563 negative +16128806 positive +12435269 positive +19756584 positive +21382036 negative +15830675 negative +7579664 negative +9114071 negative +21635140 negative +20070371 positive +19505579 positive +14987996 positive +12882162 positive +6767680 negative +963703 negative +15278289 positive +17119968 positive +9486422 negative +8698653 positive +16278932 positive 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b/src/analyse/Extractor.java new file mode 100644 index 0000000..dfb2d48 --- /dev/null +++ b/src/analyse/Extractor.java @@ -0,0 +1,455 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + +package analyse; + +import java.io.BufferedWriter; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileOutputStream; +import java.io.IOException; +import java.io.OutputStreamWriter; +import java.io.UnsupportedEncodingException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.Iterator; + +import configure.ConfigConstants; +/** + * Implements common tools to FeatureExtractor + * and NgramExtractor classes that are used to + * extract features from doc instances + * + * @author halmeida + * + */ +public class Extractor { + + + String id; + String endId; + String openFile; + String endFile; + String openAbst; + String closeAbst; + String abstractLabel; + String openEC; + String closeEC; + String classTag; + String openTitle; + String closeTitle; + String openJournal; + String closeJournal; + String copyR; + String closeCopyR; + + /** + * Replaces special characters to clean + * text for tokenizing. + * + * @param str text to be cleaned + * @return string with cleaned text + */ + public String removeSpecialChar(String str){ + str = str.replace("}", ""); + str = str.replace("{", ""); + str = str.replace("]", ""); + str = str.replace("[", ""); + str = str.replace("\"", ""); + str = str.replace("<", ""); + str = str.replace(">", ""); + str = str.replace("/", " "); + str = str.replace("\\", " "); + str = str.replace("#", ""); + str = str.replace("*", ""); + str = str.replace(">", ""); + str = str.replace("&apos", ""); + str = str.replace("%", ""); + str = str.replace(""", ""); + str = str.replace("&", ""); + str = str.replace("=", ""); + str = str.replace("?", ""); + str = str.replace("!", ""); + str = str.replace(";", ""); + str = str.replace(":", ""); +// str = str.replace(",", ""); +// str = str.replace(".", ""); + str = str.replace(")", ""); + str = str.replace("(", ""); + str = str.replace("\t\t", "\t"); + //losing ngrams because of hifen between names + str = str.replace("-", " "); + str = str.replace(" ", ""); + + return str; + } + + /** + * Handles external tags (and multiple abstract + * text tags) present in a single paper + * @param str abstract content + * @return string without external tags + */ + + public String processAbstract(String str){ + str = str.replace(" ", ""); + + if(str.contains("Copyright") && !(str.contains("."))); + } + + //Handling the word "Copyright" before the end of abstract + if(temp.contains("Copyright ")){ + temp = ""; + do{ + i++; + //an exception here can mean that a copyright information + //tag content did not ended with a period + }while(!(remove[i]).equalsIgnoreCase(".")); + } + else sb.append(remove[i]); + } + + abstrac = sb.toString(); + abstrac = removeAbstractTags(abstrac); + + return abstrac; + } + + + /** + * Removes specific tags encountered on Abstract texts. + * This is used to clean the abstract text before + * processing the feature count on the model. + * @param str + * @return + */ + + public String removeAbstractTags(String str){ + //this order of removing tags matters to + //exclude the first tag from the abstracts. + + str = str.replace("", ""); + str = str.replace("", ""); + str = str.replace("", ""); + str = str.replace("copyright", ""); + str = str.replace("", ""); + str = str.replace("", ""); + str = str.replace("", ""); + str = str.replace("", ""); + + return str; + } + + + /** + * Removes the markup annotations of a + * text field, and keeps its content + * + * @param str text containing markups + * @return string with cleaned text + */ + public String removeTags(String str) { + String[] remove = str.split(""); + StringBuilder sb = new StringBuilder(); + + for(int i = 0; i < remove.length; i++){ + + //iterating over the text until finding opening tag + if(remove[i].equalsIgnoreCase("<")){ + do{ + i++; + } + //skipping the content until finding closing tag + while(!(remove[i].equalsIgnoreCase(">"))); + } + else sb.append(remove[i]); + } + + return sb.toString(); + } + + + /** + * Displays the keys and values of the + * maps created. + * + * @param hash HashMap containing list, + * values, counts + */ + public void displayList(HashMap hash){ + Iterator itr = hash.keySet().iterator(); + int sum = 0; + while(itr.hasNext()){ + Object str = itr.next(); + System.out.println("key: "+str+"\t value: "+hash.get(str)); + } + } + + + /** + * Exports hashmap of values extracted + * from dataset to external file + * + * @param location folder, file name and file extension + * @param list values to be exported + */ + public void exportFile(String location, HashMap list){ + + String SEPARATOR = "\t"; + StringBuffer line = new StringBuffer(); + Iterator itr = list.keySet().iterator(); + + try{ + BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(location), "UTF-8")); + + while(itr.hasNext()){ + Object str = itr.next(); + if(str != null){ + line.append(str).append(SEPARATOR).append(list.get(str)); + if(line.toString().contains("=")) + line.replace(line.indexOf("="), line.indexOf("=")+1,SEPARATOR); + //handling specificities from title content extraction + if(line.toString().contains(",")) + line.replace(line.indexOf(","), line.indexOf(",")+1,SEPARATOR); + } + if(itr.hasNext()){ + line.append(System.getProperty("line.separator")); + + } + writer.write(removeSpecialChar(line.toString())); + line.replace(0, line.length(), ""); + } + writer.flush(); + writer.close(); + } + catch(UnsupportedEncodingException e){ + e.printStackTrace(); + } + catch(FileNotFoundException e){ + e.printStackTrace(); + } + catch(IOException e){ + e.printStackTrace(); + } + + + //} + } + + + /** + * Exports list of values extracted + * from dataset to a string variable + * + * @param list list of values to be exported + * @return string containing values on list + * @deprecated + */ + public String exportContent(HashMap list){ + String SEPARATOR = "\t"; + Iterator itr = list.keySet().iterator(); + StringBuffer export = new StringBuffer(); + //try{ + while(itr.hasNext()){ + String str = itr.next(); + if(str != null){ + export.append(str).append(SEPARATOR).append(list.get(str)); + + if(export.toString().contains("=")) + export.replace(export.indexOf("="), export.indexOf("=")+1,SEPARATOR); + } + + if(itr.hasNext()){ + export.append("\n"); + } + } + return removeSpecialChar(export.toString()); + } + + + /** + * Exports list of values extracted + * from dataset to external file + * + * @param location folder, file name and file extension + * @param list list of values to be exported + * + */ + public void exportList(String location, ArrayList list){ + + String SEPARATOR = "\n"; + StringBuffer line = new StringBuffer(); + + try{ + BufferedWriter writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(location), "UTF-8")); + + for(int i = 0; i < list.size(); i++){ + String str = list.get(i); + if(str != null){ + line.append(str).append(SEPARATOR); + } + } + writer.write(removeSpecialChar(line.toString())); + + writer.flush(); + writer.close(); + } + catch(UnsupportedEncodingException e){ + e.printStackTrace(); + } + catch(FileNotFoundException e){ + e.printStackTrace(); + } + catch(IOException e){ + e.printStackTrace(); + } + + } + + + public void initialize(File featureDir, ConfigConstants pathVars){ + try{ + featureDir.mkdir(); + + }catch(Exception e){ + System.out.println("Error creating" + featureDir + "folder."); + System.exit(0); + } + } + + + /** + * Accessors and mutators methods + * for Extractor variables. + * @return + */ + + public String getid() { + return id; + } + public void setid(String id) { + this.id = id; + } + public String getendId() { + return endId; + } + public void setendId(String endId) { + this.endId = endId; + } + public String getOpenFile() { + return openFile; + } + public void setOpenFile(String openFile) { + this.openFile = openFile; + } + public String getendFile() { + return endFile; + } + public void setendFile(String endFile) { + this.endFile = endFile; + } + public String getopenAbst() { + return openAbst; + } + public void setopenAbst(String openAbst) { + this.openAbst = openAbst; + } + public String getcloseAbst() { + return closeAbst; + } + public void setcloseAbst(String closeAbst) { + this.closeAbst = closeAbst; + } + public String getOpenEC() { + return openEC; + } + public void setOpenEC(String openEC) { + this.openEC = openEC; + } + public String getCloseEC() { + return closeEC; + } + public void setCloseEC(String closeEC) { + this.closeEC = closeEC; + } + public String getAbstractLabel() { + return abstractLabel; + } + public void setAbstractLabel(String abstractLabel) { + this.abstractLabel = abstractLabel; + } + public String getClassTag() { + return classTag; + } + public void setClassTag(String classTag) { + this.classTag = classTag; + } + public String getOpenTitle() { + return openTitle; + } + public void setOpenTitle(String titleTag) { + this.openTitle = titleTag; + } + public String getCloseTitle() { + return closeTitle; + } + public void setCloseTitle(String closeTitle) { + this.closeTitle = closeTitle; + } + public String getOpenJournal() { + return openJournal; + } + public void setOpenJournal(String openJournal) { + this.openJournal = openJournal; + } + public String getCloseJournal() { + return closeJournal; + } + public void setCloseJournal(String closeJournal) { + this.closeJournal = closeJournal; + } + +} \ No newline at end of file diff --git a/src/analyse/FeatureExtractor.java b/src/analyse/FeatureExtractor.java new file mode 100644 index 0000000..1593c01 --- /dev/null +++ b/src/analyse/FeatureExtractor.java @@ -0,0 +1,544 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + +package analyse; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileReader; +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.Iterator; +import java.util.Map; + +import org.apache.commons.lang3.StringUtils; +import org.jsoup.Jsoup; +import org.jsoup.nodes.Document; +import org.jsoup.nodes.Element; +import org.jsoup.select.Elements; + +import configure.ConfigConstants; +import filter.NaiveFilter; + + +/** + * This class extracts and parses domain + * annotation features from doc instances + * + * @author Hayda Almeida + * @since 2014 + * + */ + +public class FeatureExtractor extends Extractor{ + + public FeatureExtractor(){ + + this.id = "PMID"; + this.openAbst = "AbstractText"; + this.abstractLabel = "AbstractText "; + this.openEC = "RegistryNumber"; + this.classTag = "TRIAGE"; + this.openJournal = "Title"; + this.openTitle = "ArticleTitle"; + } + + + public static void main(String[] args) { + + ConfigConstants pathVars = new ConfigConstants(); + boolean verbose = false; + + String AnCorpus = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TRAINING_FILE; + FeatureExtractor fextrac = new FeatureExtractor(); + NaiveFilter featFilter = new NaiveFilter(); + + File featureDir = new File(pathVars.HOME_DIR + pathVars.FEATURE_DIR + "/"); + + fextrac.initialize(featureDir, pathVars); + featFilter.loadStopWords(pathVars.HOME_DIR + pathVars.STOP_LIST); + + //store all features, type and count + HashMap,Integer> abstract_count = new HashMap,Integer>(); + //store title features, type and count + HashMap, Integer> title_count = new HashMap, Integer>(); + //store title features, whole journal title content and classification + HashMap,String> title_content = new HashMap,String>(); + //store title content and EC numbers + ArrayList ec_numbers = new ArrayList(); + + //store ID, class and features + HashMap PMIDs = new HashMap(); + + + int jTitle = 0; + + try + { + //Loading file + File input = new File(AnCorpus); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + Elements corpus = doc.body().getElementsByTag("pubmedarticle"); + + //Fetching elements + + for(Element paper : corpus ){ + + //Fetching elements + Elements journalTitle = paper.getElementsByTag(fextrac.getOpenJournal()); + Elements title = paper.getElementsByTag(fextrac.getOpenTitle()); + Elements abstractC = paper.getElementsByTag(fextrac.getopenAbst()); + Elements ECnumber = paper.getElementsByTag(fextrac.getOpenEC()); + Elements classDoc = paper.getElementsByTag(fextrac.getClassTag()); + + String journal = ""; + String docID = ""; + String label = ""; + ArrayList tempList = new ArrayList(); + StringBuffer sb = new StringBuffer(); + + //fetching the paper ID - + //for all items in a paper, retrieve only PMIDs + for(Element e : paper.select(fextrac.getid())){ + //only consider the ID if the parent is medline citation + if(e.parentNode().nodeName().contains("medline")){ + docID = e.text(); + } + } + //fetch the doc label as well + if(classDoc.hasText()){ + label = classDoc.text(); + } + + PMIDs.put(docID, label); + + if(journalTitle.hasText()){ + + jTitle++; + journal = journalTitle.toString(); + journal = fextrac.removeSpecialChar(journal); + journal = fextrac.removeTags(journal); + } + + String title_annotation = ""; + if(title.hasText()){ + title_annotation = title.toString(); + // title_annotation = fextrac.removeSpecialChar(title_annotation); + + tempList.addAll(fextrac.annotations(title_annotation, title_count, featFilter, pathVars)); + fextrac.addContent(title_annotation, journal, title_content, featFilter); + } + + String abstrac = ""; + if(abstractC.hasText()){ + abstrac = abstractC.toString(); + //abstrac = fextrac.removeSpecialChar(abstrac); + //abstrac = fextrac.removeAbstractTags(abstrac); + + tempList.addAll(fextrac.annotations(abstrac, abstract_count, featFilter, pathVars)); + } + + String ecnum = ""; + if(ECnumber.hasText()){ + for(Element number : ECnumber){ + ecnum = number.toString(); + if(ecnum.contains("EC")){ + ecnum = fextrac.removeSpecialChar(ecnum); + ecnum = fextrac.removeTags(ecnum); + ec_numbers.add(ecnum); + } + } + } + + String triage = ""; + if(classDoc.hasText()){ + triage = classDoc.toString(); + triage = fextrac.removeSpecialChar(triage); + triage = fextrac.removeTags(triage); + } + + } + + } + + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + if(verbose){ + //print list of extracted features + System.out.println("\n===========TITLE==ANNOTATIONS============="); + fextrac.displayList(title_count);; + fextrac.displayList(title_content); + System.out.println("\n========ABSTRACT==ANNOTATIONS============="); + fextrac.displayList(abstract_count); + + } + + //filter features by occurence + featFilter.considerAnnotationOccurence(abstract_count, pathVars); + featFilter.considerAnnotationOccurence(title_count, pathVars); + + System.out.println("\n===========FEATURE==EXPORT==============="); + fextrac.exportFile(featureDir + "/" + pathVars.DOC_IDS, PMIDs); + System.out.println("..."+ PMIDs.size()+" document IDs listed."); + fextrac.exportList(featureDir + "/" + pathVars.ECNUM_FEATURES, ec_numbers); + System.out.println("..."+ ec_numbers.size()+" EC numbers saved."); + fextrac.exportFile(featureDir + "/" + pathVars.ANNOTATION_FEATURES, abstract_count); + System.out.println("..."+ abstract_count.size()+" unique Abstract annotations saved."); + fextrac.exportFile(featureDir + "/" + pathVars.TITLE_FEATURES, title_count); + System.out.println("..."+ title_count.size() +" unique Title annotations saved."); + fextrac.exportFile(featureDir + "/" + pathVars.JOURNAL_TITLE_FEATURES, title_content); + System.out.println("..."+jTitle+" Journal titles saved."); + System.out.println("\n=========================================\n"); + + } + + /** + * Identifies the classification on doc + * + * @param clas text containing classification (after char removal) + * @return classification of doc + */ + private String getClassif(String clas) { + + //parsing the not edited text into HTML using Jsoup + Document doc = Jsoup.parseBodyFragment(clas); + //saving the text as an Jsoup element, with a main tag (the HTML body), + //attributes and child nodes (TRIAGE tags) + Element text = doc.body(); + + Elements classification = text.getElementsByTag("TRIAGE"); + + return classification.text(); + } + + /** + * Inserts the classification + * on the list of features + * + * @param class information to insert on list + * @param list list of features used + */ + private void addClass(String element, HashMap, String> list){ + //going over list to insert + //classif on document instances + Iterator>it = list.keySet().iterator(); + + while(it.hasNext()){ + Map str = it.next(); + + if(list.get(str).contains(element)){ + //if(list.get(str).contains("positive") || list.get(str).contains("negative")){ + + } + else list.put(str, element); + } + } + + + /** + * Extract the annotations from a determined section + * of the document and add them to the specified lists. + * + * @param annotation cleaned and splitted line with annotation + * @param count list that holds annotation, its type and its count + * @param type list that holds annotation, its type and its classification + */ + private ArrayList annotations(String annot, HashMap, Integer> count, NaiveFilter filter, ConfigConstants pathVars) { + HashMap features = loadAnnotationEntities(); + ConfigConstants pathVar = new ConfigConstants(); + NgramExtractor nextrac = new NgramExtractor(); + ArrayList content = new ArrayList(); + + //parsing the not edited text into HTML using Jsoup + Document doc = Jsoup.parseBodyFragment(annot); + //saving the text as an Jsoup element, with a main tag (the HTML body), + //attributes and child nodes (annotation tags) + Element annotations = doc.body(); + + //iterating over list of entities + for(Map.Entry value : features.entrySet()){ + + String an_type = value.getKey(); + String an_level = value.getValue(); + + //for each entity, find the annotations on abstract + Elements annots = annotations.getElementsByTag(an_type); + + //for each annotation found, + for(Element an : annots){ + + //grabbing annotation content: + //if the annotation is made on the sentence level: + if(an_level.contains("sentence")){ + + //checking if sentence contains inner annotations + if(an.childNodeSize() != 0){ + + //going over list of inner annotations + for(Element child : an.children()){ + + //if child is sentence (sentence inside of sentence), + //then add annotations as ngrams on this + if(features.get(child.nodeName()).contains("sentence")) { + content.addAll(nextrac.nGrams(child.text(), filter, pathVar)); + insertAnnotation(content, an.nodeName(), count, pathVars); + } + //adding annotations on sentence as they are - no ngrams on this + else { + content.add(child.text()); + insertAnnotation(content, an.nodeName(), count, pathVars); + } + } + + //removing inner annotations from sentence, they are already added + Element tempAnnot = an.clone(); + tempAnnot.children().remove(); + + //splitting content in ngrams to whats left on the sentence + content.addAll(nextrac.nGrams(tempAnnot.text(), filter, pathVar)); + insertAnnotation(content, an.nodeName(), count, pathVars); + } + + } + else { + //keeping original annotation content for other cases + content.add(an.text()); + insertAnnotation(content, an.nodeName(), count, pathVars); + } + } + + } + return content; + + } + + + /** + * Insert annotation (or ngram list of annotation) + * on lists, used on @annotations method + * @param content content of annotation + * @param an_type type extracted from text (entity) + * @param count list of annotations and their count + */ + private void insertAnnotation(ArrayList content, String an_type, HashMap, Integer> count, ConfigConstants pathVars){ + + //iterating over list of annotations + for(int i = 0; i < content.size(); i++){ + + String current_content = content.get(i); + current_content = removeSpecialChar(current_content); + + if(current_content.length() >= Integer.parseInt(pathVars.FEATURE_MIN_LENGTH)){ + + //creating the list key as: content - type mapping + Map an_content = new HashMap(); + an_content.put(current_content, an_type); + + //for each annotation (or ngram on annotation) + //insert content and related type + if(count.containsKey(an_content)){ + try{ + int cnt = count.get(an_content); + count.put(an_content, cnt+1); + + }catch(Exception e){ + count.put(an_content, 1); + } + } + else{ + count.put(an_content, 1); + } + } + } + + content.clear(); + + } + + + /** + * Inserts the text (e.g.title) content into + * a list of features (e.g.title features) + * + * @param annot text with the annotations to be handled + * @param wContent whole field to be added on the list of features + * @param list features used + * + */ + private void addContent(String annot, String wContent, HashMap,String> list, NaiveFilter filter) { + + HashMap features = loadAnnotationEntities(); + ArrayList content = new ArrayList(); + NgramExtractor nextrac = new NgramExtractor(); + ConfigConstants pathVar = new ConfigConstants(); + + //parsing not edited text into HTML using Jsoup + Document doc = Jsoup.parseBodyFragment(annot); + //saving the text as an Jsoup element, with a main tag (the HTML body), + //attributes and child nodes (annotation tags) + Element annotations = doc.body(); + + //iterating over annotation types + for(Map.Entry value : features.entrySet()){ + + String an_type = value.getKey(); + String an_level = value.getValue(); + + //for each annotation type, find all related annotations on the abstract + Elements annots = annotations.getElementsByTag(an_type); + + //for each annotation type, + for(Element an : annots){ + + //grab annotation content + if(an_level.contains("sentence")) + //splitting in ngrams for sentence level annotations + content = nextrac.nGrams(an.text(), filter, pathVar); + else + //keeping original annotation for other cases + content.add(an.text()); + + //iterating over list of annotations + for(int i = 0; i < content.size(); i++){ + + String current_content = content.get(i); + current_content = removeSpecialChar(current_content); + + Map an_content = new HashMap(); + an_content.put(current_content, wContent); + + //populating list of feature_an_types, with: + //feature--an_type--class + list.put(an_content, ""); + } + content.clear(); + } + } + } + + + /** + * Loads list of entities from external file + * + * @param str list of entities + * @param pathVar constants from + * @return + */ + public HashMap loadAnnotationEntities(){ + + String pathEntities = "entities.txt"; + HashMap values = new HashMap(); + + try{ + BufferedReader reader = new BufferedReader(new FileReader(pathEntities)); + + String line = null; + + while((line = reader.readLine()) != null){ + + if(!line.contains("#")){ + String[] value = StringUtils.split(line, " "); + values.put(value[0].toLowerCase(), value[1].toLowerCase()); + } + } + + reader.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + //String[] entities = values.toArray(new String[values.size()]); + + return values; + } + + @Override + public void initialize(File featureDir, ConfigConstants pathVars){ + + try{ + + if(!featureDir.exists()) + featureDir.createNewFile(); + + File ecnumbers = new File(featureDir + "/" + pathVars.ECNUM_FEATURES); + ecnumbers.createNewFile(); + + File annotations = new File(featureDir + "/" + pathVars.ANNOTATION_FEATURES); + annotations.createNewFile(); + + File titleAnnotations = new File(featureDir + "/" + pathVars.TITLE_FEATURES); + titleAnnotations.createNewFile(); + + File journaltitles = new File(featureDir + "/" + pathVars.JOURNAL_TITLE_FEATURES); + journaltitles.createNewFile(); + + }catch(Exception e){ + System.out.println(e.getMessage()); + System.exit(0); + } + } + + + /** + * Handles the content of annotations; when + * there is multiple elements, they are + * concatenated after extracted + * + * @param str list of annotation elements + * @return single string with all elements + */ + public String contentToString(String[] str){ + String cont = ""; + + for(int i = 0; i < str.length; i++){ + if(cont.contentEquals("")){ + cont = cont + str[i]; + } + else cont = cont+" "+ str[i]; + + } + + return cont; + } + + + +} diff --git a/src/analyse/NgramExtractor.java b/src/analyse/NgramExtractor.java new file mode 100644 index 0000000..b11be56 --- /dev/null +++ b/src/analyse/NgramExtractor.java @@ -0,0 +1,309 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + +package analyse; + +import java.io.File; +import java.io.FileNotFoundException; +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.Map; + +import org.apache.commons.lang3.StringUtils; +import org.jsoup.Jsoup; +import org.jsoup.nodes.Document; +import org.jsoup.nodes.Element; +import org.jsoup.select.Elements; + +import configure.ConfigConstants; +import filter.NaiveFilter; + +/** + * This class extracts and parses n-grams + * from XML doc instances. + * + * @author Hayda Almeida + * @since 2014 + * + */ + +public class NgramExtractor extends Extractor{ + + public NgramExtractor(){ + + //defining relevant paper text fields + this.id = "PMID"; + this.openJournal = "Title"; + this.openAbst = "AbstractText"; + this.openEC = "RegistryNumber"; + this.classTag = "TRIAGE"; + this.openTitle = "ArticleTitle"; + } + + + public static void main(String[] args) { + + ConfigConstants pathVars = new ConfigConstants(); + boolean verbose = false; + + String AnCorpus = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TRAINING_FILE; + NgramExtractor nextrac = new NgramExtractor(); + NaiveFilter featFilter = new NaiveFilter(); + File featureDir = new File(pathVars.HOME_DIR + pathVars.FEATURE_DIR); + + featFilter.loadStopWords(pathVars.HOME_DIR + pathVars.STOP_LIST); + + //store abstract ngrams and its count + HashMap ngram_count = new HashMap(); + //store abstract ngrams and doc ID + HashMap ngram_ID = new HashMap(); + //store title ngrams and its count + HashMap ngram_title_count = new HashMap(); + //store title ngrams, count and "relevance(TBD)" + HashMap,Integer> ngram_title = new HashMap,Integer>(); + //store ID and label of documents + HashMap PMIDs = new HashMap(); + + nextrac.initialize(featureDir, pathVars); + + try + { + + //Loading file + File input = new File(AnCorpus); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + Elements corpus = doc.body().getElementsByTag("pubmedarticle"); + + //Fetching elements + + for(Element paper : corpus ){ + + Elements journalTitle = paper.getElementsByTag(nextrac.getOpenJournal()); + Elements title = paper.getElementsByTag(nextrac.getOpenTitle()); + Elements abstractC = paper.getElementsByTag(nextrac.getopenAbst()); + Elements ECnumber = paper.getElementsByTag(nextrac.getOpenEC()); + Elements classDoc = paper.getElementsByTag(nextrac.getClassTag()); + + String journal = ""; + String docID = ""; + String label = ""; + int jTitle = 0; + + //fetching the paper ID - + //for all items in a paper, retrieve only PMIDs + for(Element e : paper.select(nextrac.getid())){ + //only consider the ID if the parent is medline citation + if(e.parentNode().nodeName().contains("medline")){ + docID = e.text(); + } + } + //fetch the doc label as well + if(classDoc.hasText()){ + label = classDoc.text(); + } + + PMIDs.put(docID, label); + + //Extracting the Journal Title + if(journalTitle.hasText()){ + jTitle++; + journal = journalTitle.toString(); + journal = nextrac.removeSpecialChar(journal); + journal = nextrac.removeTags(journal); + } + + String tit_content = ""; + //Extracting the Paper Title + if(title.hasText()){ + tit_content = title.toString(); + tit_content = nextrac.removeSpecialChar(tit_content); + tit_content = nextrac.removeTags(tit_content); + + ArrayList title_c = nextrac.nGrams(tit_content, featFilter, pathVars); + nextrac.addNGram(title_c, ngram_title_count, pathVars); + } + + String abstrac = ""; + //Extracting the Paper abstract + if(abstractC.hasText()){ + abstrac = abstractC.toString(); + //abstrac = nextrac.removeTags(abstrac); + abstrac = nextrac.removeSpecialChar(abstrac); + abstrac = nextrac.removeAbstractTags(abstrac); + + ArrayList abstract_c = nextrac.nGrams(abstrac, featFilter, pathVars); + nextrac.addNGram(abstract_c, ngram_count, pathVars); + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + if(verbose){ + //print list of extracted n-grams + nextrac.displayList(PMIDs); + System.out.println("\n========ABSTRACT==NGRAMS============="); + nextrac.displayList(ngram_count); + nextrac.displayList(ngram_title); + System.out.println("\n===========TITLE==NGRAMS============="); + nextrac.displayList(ngram_title_count); + } + + //filter features by occurence + featFilter.considerOccurence(ngram_count, pathVars); + featFilter.considerOccurence(ngram_title_count, pathVars); + + System.out.println("\n===========NGRAMS==EXPORT===============\n"); + nextrac.exportFile(pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.DOC_IDS, PMIDs); + System.out.println("..."+ PMIDs.size()+" document IDs listed."); + nextrac.exportFile(pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.NGRAM_FEATURES, ngram_count); + System.out.println("..."+ ngram_count.size()+" unique Abstract ngrams saved."); + nextrac.exportFile(pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.TITLE_NGRAMS, ngram_title_count); + System.out.println("... "+ ngram_title_count.size() +" unique Title ngrams saved."); + System.out.println("\n========================================\n"); + + } + + + /** + * Inserts ngrams into list of features + * with a mapping for ngram count + * @param str relation of ngrams extracted + * @param list_count mapping for ngram counts + * @param pathVars + */ + + private void addNGram(ArrayList str, HashMap list_count, ConfigConstants pathVars){ + + //iterating over ngram list + for(int i = 0; i < str.size(); i++){ + String currentNGram = str.get(i); + + //checking existence of current ngram on list mapping + if(list_count.containsKey(currentNGram)){ + //retrieve the amount of current ngrams on mapping + int count = list_count.get(currentNGram); + //insert the updated count of ngrams + list_count.put(currentNGram, count+1); + } + else { + //insert ngram on mapping list + if(currentNGram.length() >= Integer.parseInt(pathVars.FEATURE_MIN_LENGTH)){ + list_count.put(currentNGram, 1); + } + } + } + } + + /** + * Extracts n-grams from a given content field + * + * @param str text to extract ngrams + * @return list of extracted grams + */ + public ArrayList nGrams(String str, NaiveFilter filter, ConfigConstants pathVar){ + + //removing ASCII special characters + str = str.replace("/", ""); + str = str.replace("\\", ""); + str = str.replace(" ", "-"); + str = str.replaceAll("\\s+"," "); + str = str.replace(" ", "-"); + + //Tokenizing the sentence + String[] words = StringUtils.split(str,"-"); + ArrayList ngramList = new ArrayList(); + + int ngram =Integer.parseInt(pathVar.NGRAM_SIZE); + + //Stop-words removal + if(Boolean.valueOf(pathVar.NGRAM_STOP)){ + words = StringUtils.split(filter.removeStopList(words)," "); + } + + //extracting ngrams according to gram size (1, 2, 3) + for(int i=0; i < words.length - (ngram - 1); i++){ + switch(pathVar.NGRAM_SIZE){ + case "1": + ngramList.add(words[i].toLowerCase()); + break; + case "2": + ngramList.add(words[i].toLowerCase()+" "+words[i+1].toLowerCase()); + break; + case "3": + ngramList.add(words[i].toLowerCase()+" "+words[i+1].toLowerCase()+" "+words[i+2].toLowerCase()); + break; + } + } + + return ngramList; + } + + + @Override + public void initialize(File featureDir, ConfigConstants pathVars){ + try{ + featureDir.mkdir(); + File ngrams = new File(featureDir + pathVars.NGRAM_FEATURES); + ngrams.createNewFile(); + + File titlengrams = new File(featureDir + pathVars.TITLE_NGRAMS); + titlengrams.createNewFile(); + + }catch(Exception e){ + System.out.println(e.getMessage()); + System.exit(0); + } + } + + + /** + * Displays the keys and values of the + * maps created with n-grams and counts. + * @param hash HashMap containing n-grams + */ + @Override + public void displayList(HashMap hash){ + super.displayList(hash); + //sum = sum + hash.get(str); + System.out.println("\n=======================================\n"); + System.out.println("Number of unique n-grams: "+hash.size()); + System.out.println("\n=======================================\n"); + } + + + +} diff --git a/src/arffmatrix/.gitignore b/src/arffmatrix/.gitignore new file mode 100644 index 0000000..ec5761d --- /dev/null +++ b/src/arffmatrix/.gitignore @@ -0,0 +1,2 @@ +/buildmodel.class +/buildtest.class diff --git a/src/arffmatrix/BuildModel.class b/src/arffmatrix/BuildModel.class new file mode 100644 index 0000000000000000000000000000000000000000..022e81ff839eca399a9cd58eea1b81792202e6fc GIT binary patch literal 5997 zcmb7I3w&H>#CT;Dsw9sclg>B0;?NZW|29qW$Nb?JgAJ`lmBJeFmFtjb!7GAU$>D2wc}0*Z>Tvbu_jt}7_w11QA*ckfKz)!*iq z$(-+e=k=X)zH`o(r{8<@F#zYu`95fZDl6U7ldzn0>_GiR1F?8_YpUCh`(Oyl_E`I@ z`nZ+st#8}C$BsIJKs1%?iS_ox;kphb# zm|>y-g@V$SSkm4+kl1afJFVTGpj6a~Z?n=dway_68(c8~=qNK$0zXALeX)#SX3MlT zQ@N3_Vo5>uqRXe6ws@Nl)nxWgFp#$E+byTBF_p|XR?^7?P=zw}C#00s(lLvsmoZyV zZY8bw!HiwsbihelQ74rSV3y*Zg}Ele%G7`|K4!&Zhio6_Q>`+2AAOig*EgnZ%dxk) zivZ?ffzr58FndwU8H`)Ac$*?T$HXEm7L>%2J*jkJBgOC>^vLo*!#VX7MOcdEJ}jFM z;f{kD$4;22Lp>vx8ep)iJl0sMzMa8!7-HK>tnp)opdzn398X!@c6Ye0t}cM{@K-*Z z&s{e!Ci0nBsl4jzSEAxcA65%$T{_1;;M8}-68&*|1O2j*C$k(sB0T3o{S;u%h&j@1;u4k0{-zJM@9gYqZ&EugCR(wX#8!X5o$Pj_GFj*} z>T`PN*LH#I^ka*lpiZTW6545ED|n0iPRhGtg33kHoIzRjK@(lBRh!ycn|5w!-V(s& zxWb1W69etuR1<%Loeal5D?VVi^$5-$pYGmupT^iVN{?k?x6)&_ZS8E|+PSl}Z9`Lw z4?JDaw?+C&QdbWXpO&e+7A;np^*%R}M}NKxEtC)d-vn`|a-T2Oc9yVE?4 zqy5;&Fa?y=2TUAPIbE<{ozjO7P2+$qt`;Azp5y=zue^DUi6hFJfyTBi?OQuk+!Xq6 zOSy)b7ON0v+pY9$3wV5`SGI@{OBp7AC=G>O?+Ij z`#YODI`c9=Y2s6!CWTb;{P?s0etd>TH?+4lZwPO*)0tQ*xpw}F`Ri0x-D={q_5?EN%D4t*E^*md-GAtH-Ozb)2c!dD@`e&0KG&S7&kUzsJNs;a=i$3IrR*%bsBV zI1Ll<)9SgOGF^{F!YUyDY~pk7^=0YoR(;QpFED+Iln?*K#23{e134Sk$K!rH$l|*r zv(%4=l);@bCvLCvQt6c&XsOfYYLpU0@GMQLUEXu7^(v8Otl^OL@QeH*=M<#x(Zcnkg zJ$BM*x^lpZXZ-jH&z?UVWhl~4KVB7R0T!Hj_=So8#V<+JYdflhse}@w#%JysZ^gJQ z{(sO+Ujcu`I-9pM6V64&?p78z;&s&qf32pOX_&{F-5Zoq6y6_m`od}e2tW&s?8~9V`?DT-E<&o_p9id;!~W= zMt3N(qI)|z1lj>9QtSch%(FMQjWTgIwbJTxR7^9PsvP4i$^n=Jp)(GFv^JrJa|&sh zGJ$gXE%oM0_BT6ianMw<&MadX;5T zX=fs;#!IFteV$T_IXQZrRV656p$eaBvr~C;ok@-LOaR6_mjcRy+>Q1&%v|{0T1O}3 zzWsJI>AoU(A>8}t4QUkAXJu3kW1($UQ-ha0E?1P1BtAH*K$XuNvV0Ut-W;wtpIG^I zKAUoDqdyVj+`|(n&lM)^{k#_pr#d{JL3E$+Gk4Tqu3IN36x}v9YLCkqQj5d$QH3tYeX2k>>M`bn3N5NQWOxSYnE}TF7tpQy^bL-~<5; 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IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +*** +* This class re-uses https://code.google.com/p/deft2013/source/browse/trunk/src/corpus/buildmodel.java +* The code authors: Eric Charton http://www.echarton.com twitter.com/ericcharton +* Marie-Jean Meurs http://mjmrsc.com/research/ twitter.com/mjmrsc +* +* This software is free to use, modify and redistribute under Creative Commons by-nc/3.0 License Term +* http://creativecommons.org/licenses/by-nc/3.0/ +*/ + +package arffmatrix; + +import java.io.BufferedReader; +import java.io.BufferedWriter; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileReader; +import java.io.FileWriter; +import java.io.IOException; +import java.text.SimpleDateFormat; +import java.util.Date; + +import com.sun.org.apache.xerces.internal.impl.xs.identity.Selector.Matcher; + +import analyse.Extractor; +import arffvector.CreateVector; +import configure.ConfigConstants; + +/** + * This class reads the corpus instances and uses + * the CreateVector class to generate a model file (ARFF) * + * + * @author Hayda Almeida, Marie-Jean Meurs + * @since 2014 + * + */ + +public class BuildModel { + + + public static void main(String[] args) { + + //----------------------------------- + // instantiate classes of constants + // and configuration file. + //----------------------------------- + + ConfigConstants pathVars = new ConfigConstants(); + + Extractor model = new Extractor(); + File outputDir = new File(pathVars.HOME_DIR + pathVars.OUTPUT_MODEL); + + model.initialize(outputDir, pathVars); + + CreateVector vectorgenerator = new CreateVector(pathVars); + String attributes = vectorgenerator.informFeatures(pathVars); + System.out.println("Features loaded ..."); + + // name output ARFF files + String timeStamp = new SimpleDateFormat("yyyyMMdd_hh:mm").format(new Date()); + String arffFileName = "triage" + pathVars.EXP_TYPE + "_"+ pathVars.PERCT_POS_TRAIN + attributes +"_"+ timeStamp + ".arff"; + + try + { + //by default + String sortarffFileName = pathVars.HOME_DIR + pathVars.OUTPUT_MODEL + arffFileName; // default + + // create file + BufferedWriter out = new BufferedWriter(new FileWriter(sortarffFileName)); + + // load ARFF header and write it + String outHeaderArff = vectorgenerator.genArffHeader(pathVars,Integer.parseInt(pathVars.EXP_TYPE)); + //System.out.println(outHeaderArff); // verbose + out.write(outHeaderArff + "\n"); + + // reader for corpus + BufferedReader reader = null; + //train corpus + if(Integer.parseInt(pathVars.EXP_TYPE) == 0) + reader = new BufferedReader(new FileReader(pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TRAINING_FILE)); + //test corpus + else if(Integer.parseInt(pathVars.EXP_TYPE) ==1) + reader = new BufferedReader(new FileReader(pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TEST_FILE)); + + //-------------------------------------------- + // repeat until all lines have been read + // from the file + //-------------------------------------------- + String text = null; + String content = null; + + String abstracttext = ""; + String journaltitle = ""; + String title = ""; + String ecnumber = ""; + String classtriage = ""; + int hasText = 0; + int journaltitlecount = 0; + int abstracttitlecount = 0; + int abstracttextcount = 0; + int positivecount = 0; + int negativecount = 0; + + + while ((text = reader.readLine()) != null) { + + // detect a PubMed abstract + if (text.contains("", ""); + pmid = pmid.replace("", "").trim(); + //System.out.println("PMID : " + pmid); + + // continue to read + content = reader.readLine(); + content = content.replaceAll("\t", ""); + content = content.replaceFirst("\\s+", ""); + + while ( ! content.contains("TRIAGE")) { + + if (content.contains("")){ + + journaltitlecount++; + System.out.println("#: " + journaltitlecount + "\t PMID : " + pmid); + + content = content.replace("<Title>", ""); + content = content.replace("", ""); + journaltitle = content; + //System.out.println("Journal title : " + content); + } + + if (content.contains("")){ + + abstracttitlecount++; + + content = content.replace("", ""); + content = content.replace("", ""); + title = content; + //System.out.println("Paper title : " + content); + } + + + if (content.contains("")){ + + abstracttextcount++; + hasText = 1; // use it to indicate if the abstract has some text or not + + content = content.replace("", ""); + + //checks if there are empty lines after AbstractText tag + //and keeps reading until finds the abstract content + while(content.isEmpty()){ + content = reader.readLine(); + } + abstracttext = abstracttext + content; + // clean + abstracttext = model.removeAbstractTags(abstracttext); + + + content = reader.readLine(); + // converting toLowerCase is not relevant in bio context + // because it introduces ambiguities (ie Gene name / Enzyme alias) + // abstracttext = abstracttext.toLowerCase(); + } + + if (content.contains("")){ + temp = temp + model.processAbstract(content); + } + else{ + do{ + temp = temp + model.processAbstract(content); + content = reader.readLine(); + }while(!(content.contains(""))); + } + + newAbs = newAbs + temp; + content = newAbs + ""; + + abstracttext = content; + abstracttext = model.removeAbstractTags(abstracttext); + + content = reader.readLine(); + + } + + if (content.contains("EC ")){ + content = content.substring(content.indexOf("EC ")); + content = content.replace("", ""); + ecnumber = content; + } + +// if (content.contains("")); +// content = content.replace("", ""); +// classtriage = content; +// if(content.contains("positive")){ +// positivecount++; +// } +// if(content.contains("negative")){ +// negativecount++; +// } +// +// //System.out.println("Triage classification : " + content); +// } + + content = reader.readLine(); + content = content.replaceAll("\t", ""); + content = content.replaceFirst("\\s+", ""); + } + + if (content.contains("")); + content = content.replace("", ""); + classtriage = content; + if(content.contains("positive")){ + positivecount++; + } + if(content.contains("negative")){ + negativecount++; + } + + //System.out.println("Triage classification : " + content); + } + + //System.out.println("Abstract : " + abstracttext.toString() + "\n\n"); + + // end of if: collect data and write ARFF + String Arffline = vectorgenerator.getArffLine(pmid, + journaltitle, + title, + abstracttext, + ecnumber, + classtriage, + Integer.parseInt(pathVars.EXP_TYPE) + ); + + Arffline = Arffline + "\n"; + // write line on disc + out.write(Arffline); + // out.write(id + " " + Arffline + "\n"); // + } + + } + + System.out.println( + "Abstracts processed: " + abstracttitlecount + + "\t with text content: " + abstracttextcount + + "\t from " + journaltitlecount + " journals" + + "\nTotal of: \n" + positivecount + " positive" + + "\t and " + negativecount + " negative documents"); + out.write("\n"); + out.close(); + + reader.close(); + + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + } + +} + + + diff --git a/src/arffvector/.gitignore b/src/arffvector/.gitignore new file mode 100644 index 0000000..bdc0ba3 --- /dev/null +++ b/src/arffvector/.gitignore @@ -0,0 +1,7 @@ +/buildvector.class +/FeatureVector.class +/CreateVector.class +/CreateWeightedVector.class +/ArbitraryWeight.class +/CountsWeightedVector.class +/ArbitraryWeightedVector.class diff --git a/src/arffvector/CreateVector.java b/src/arffvector/CreateVector.java new file mode 100644 index 0000000..66aee23 --- /dev/null +++ b/src/arffvector/CreateVector.java @@ -0,0 +1,894 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +*** +* This class re-uses https://code.google.com/p/deft2013/source/browse/trunk/src/vector/buildvector.java +* The code authors: Eric Charton http://www.echarton.com twitter.com/ericcharton +* Marie-Jean Meurs http://mjmrsc.com/research/ twitter.com/mjmrsc +* +* This software is free to use, modify and redistribute under Creative Commons by-nc/3.0 License Term +* http://creativecommons.org/licenses/by-nc/3.0/ +*/ + + + + +package arffvector; + +import java.io.BufferedReader; +import java.io.FileNotFoundException; +import java.io.FileReader; +import java.io.IOException; +import java.util.ArrayList; +import org.apache.commons.lang3.StringUtils; +import configure.ConfigConstants; + +/** + * Uses the features extracted and the + * generated corpus to create a feature vector + * (a matrix representation of the corpus) + * + * @author Hayda Almeida, Marie-Jean Meurs + * @since 2014 + * + */ +public class CreateVector { + + ArrayList annotations = new ArrayList(); + ArrayList annotationsType = new ArrayList(); + ArrayList journalTitles = new ArrayList(); + ArrayList ecnumbers = new ArrayList(); + ArrayList titleGrams = new ArrayList(); + ArrayList titleAnnot = new ArrayList(); + ArrayList nGrams = new ArrayList(); + ArrayList docID = new ArrayList(); + + ConfigConstants pathVars = null; + + /** + * Constructor to load all features extracted + * from training files. These features will be + * used to generate the ARFF header and the + * ARFF vector lines. + * + * @param extVars Variables holding system paths + */ + + public CreateVector(ConfigConstants extVars) { + + pathVars = extVars; + + String pathJournalT = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.JOURNAL_TITLE_FEATURES; + try{ + String journalT = ""; + + //receiving journal title + BufferedReader reader = new BufferedReader(new FileReader(pathJournalT)); + int featcount = 0; + while (( journalT = reader.readLine()) != null) { + + if (Boolean.valueOf(pathVars.USE_JOURNAL_TITLE_FEATURE)){ + + String[] features = StringUtils.split(journalT,"\n"); + + for(int i = 0; i < features.length; i++){ + + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for journal titles duplicates + if(featurename[1] != "" && !(journalTitles.contains(featurename[1]))){ + journalTitles.add(featurename[1]); + } + } + } + if ( featcount >= Integer.parseInt(pathVars.NB_PARAMS) && Integer.parseInt(pathVars.NB_PARAMS) != -1 ) { break;} + + } + reader.close(); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + String pathAnnotations = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.ANNOTATION_FEATURES; + String pathTitleAnnot = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.TITLE_FEATURES; + + try{ + String abstAnnot = ""; + String tAnnot = ""; + + //receiving abstract annotations (features) + BufferedReader reader = new BufferedReader(new FileReader(pathAnnotations)); + BufferedReader readerT = new BufferedReader(new FileReader(pathTitleAnnot)); + + int featcount = 0; + + while (( abstAnnot = reader.readLine()) != null) { + + if (Boolean.valueOf(pathVars.USE_ANNOTATION_FEATURE)){ + String[] features = StringUtils.split(abstAnnot,"\n"); + + for(int i = 0; i < features.length; i++){ + + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for duplicate abstract annotations + if(featurename[0] != "" && !(annotations.contains(featurename[0]))){ + annotations.add(featurename[0]); + } + } + } + if ( featcount >= Integer.parseInt(pathVars.NB_PARAMS) && Integer.parseInt(pathVars.NB_PARAMS) != -1 ) { break;} + } + + + if(!(Boolean.valueOf(pathVars.USE_TITLE_FEATURE))){ + while((tAnnot = readerT.readLine()) != null){ + + String[] features = StringUtils.split(tAnnot,"\n"); + + for(int i = 0; i < features.length; i++){ + + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for duplicate annotations + if(featurename[0] != "" && !(annotations.contains(featurename[0]))){ + annotations.add(featurename[0]); + } + } + + } + + } + + reader.close(); + readerT.close(); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + try{ + String abstAnType = ""; + + //receiving abstract annotation types + BufferedReader reader = new BufferedReader(new FileReader(pathAnnotations)); + int featcount = 0; + while (( abstAnType = reader.readLine()) != null) { + + if (Boolean.valueOf(pathVars.USE_ANNOTATION_TYPE)){ + + String[] features = StringUtils.split(abstAnType,"\n"); + + for(int i = 0; i < features.length; i++){ + + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for duplicate abstract annotation types + if(featurename[1] != "" && !(annotationsType.contains(featurename[1]))){ + annotationsType.add(featurename[1]); + } + + } + } + if ( featcount >= Integer.parseInt(pathVars.NB_PARAMS) && Integer.parseInt(pathVars.NB_PARAMS) != -1 ) { break;} + + } + reader.close(); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + + + try{ + String titAnnot = ""; + + //receiving title annotations (features) + BufferedReader reader = new BufferedReader(new FileReader(pathTitleAnnot)); + // int featcount = 0; + while (( titAnnot = reader.readLine()) != null) { + + if(Boolean.valueOf(pathVars.USE_TITLE_FEATURE)){ + + //String titAnnot = FeatureExtractor.getTitCount(); + + String[] features = StringUtils.split(titAnnot,"\n"); + + for(int i = 0; i < features.length; i++){ + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for duplicate title annotations + if(!(titleAnnot.contains(featurename[0]))){ + titleAnnot.add(featurename[0]); + } + } + } + } + reader.close(); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + + String pathECNumFeatures = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.ECNUM_FEATURES; + + try{ + String ECNum = ""; + + //receiving EC numbers (features) + BufferedReader reader = new BufferedReader(new FileReader(pathECNumFeatures)); + // int featcount = 0; + while ((ECNum = reader.readLine()) != null) { + + if(Boolean.valueOf(pathVars.USE_ECNUM_FEATURE)){ + + //String titAnnot = FeatureExtractor.getTitCount(); + + String[] features = StringUtils.split(ECNum,"\n"); + + for(int i = 0; i < features.length; i++){ + String[] featurename = StringUtils.split(features[i],"\t"); + + //checking for duplicate EC numbers + if(!(ecnumbers.contains(featurename[0]))){ + ecnumbers.add(featurename[0]); + } + } + } + } + reader.close(); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + + String pathTitleGrams = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.TITLE_NGRAMS; + + + try{ + String titCont = ""; + // String grams = ""; + + //receiving title ngrams + BufferedReader reader = new BufferedReader(new FileReader(pathTitleGrams)); + + int featcount = 0; + while (( titCont = reader.readLine()) != null) { + + if(Boolean.valueOf(pathVars.USE_TITLE_NGRAMS)){ + + String[] content = StringUtils.split(titCont,"\n"); + + for(int i = 0; i < content.length; i++){ + String[] featurename = StringUtils.split(content[i],"\t"); + + //check for duplicate title ngrams + if(!(titleGrams.contains(featurename[0]))){ + titleGrams.add(featurename[0]); + } + } + } + } + + reader.close(); + + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + + String pathNgrams = pathVars.HOME_DIR + pathVars.FEATURE_DIR + pathVars.NGRAM_FEATURES; + try{ + String grams = ""; + String tgrams = ""; + + //receiving ngrams + BufferedReader reader = new BufferedReader(new FileReader(pathNgrams)); + BufferedReader readerT = new BufferedReader(new FileReader(pathTitleGrams)); + + // int featcount = 0; + while (( grams = reader.readLine()) != null) { + + if(Boolean.valueOf(pathVars.USE_NGRAM_FEATURE)){ + + String[] features = StringUtils.split(grams,"\n"); + + for(int i = 0; i < features.length; i++){ + String[] featurename = StringUtils.split(features[i],"\t"); + + //check for duplicate abstract ngrams + if(!(nGrams.contains(featurename[0]))){ + nGrams.add(featurename[0]); + } + } + } + + } + + //if not using title grams separately, + // then insert title grams with abstract grams. + if (!(Boolean.valueOf(pathVars.USE_TITLE_NGRAMS))){ + while (( tgrams = readerT.readLine()) != null) { + + String[] features = StringUtils.split(tgrams,"\n"); + + for(int i = 0; i < features.length; i++){ + String[] featurename = StringUtils.split(features[i],"\t"); + + //check for duplicate ngrams + if(!(nGrams.contains(featurename[0]))){ + nGrams.add(featurename[0]); + } + } + } + } + + reader.close(); + readerT.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch (IOException e) { + e.printStackTrace(); + } + } + + /** + * Gathers the list of features, according to + * experimental configurations. The list of + * features will be written on the ARFF header. + * + * @param pathVars Variables holding system paths + * @param exp experiment type: train or test + * @return a String containing the ARFF header + */ + + public String genArffHeader(ConfigConstants pathVars, int exp){ + + StringBuilder headerArff = new StringBuilder(); + + switch(exp){ + case 0: + headerArff.append("% Weka training file - mycoCLAP triage - CSFG 2015\n\n"); + break; + case 1: + headerArff.append("% Weka test file - mycoCLAP triage - CSFG 2015\n\n"); + break; + } + + headerArff.append("@RELATION triage\n"); + + if(Boolean.valueOf(pathVars.USE_TEXT_SIZE)){ + // writing the list of text sizes + headerArff.append("@ATTRIBUTE sizeoftitle \tREAL \t\t%size of title\n"); + headerArff.append("@ATTRIBUTE sizeoftext \tREAL \t\t%size of text\n"); + } + + if(Boolean.valueOf(pathVars.USE_DOC_ID)){ + //writing the docIDs + headerArff.append("@ATTRIBUTE docID \tREAL \t\t%PMID of paper\n"); + + } + + if(Boolean.valueOf(pathVars.USE_JOURNAL_TITLE_FEATURE)){ + for(int i = 0; i < journalTitles.size(); i++){ + // writing list of journal titles + String feature = journalTitles.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "journalTitle" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + } + + if (Boolean.valueOf(pathVars.USE_ANNOTATION_FEATURE)){ + // writing list of annotation features + for(int i = 0; i < annotations.size(); i++){ + + String feature = annotations.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "annotation" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + } + + if(Boolean.valueOf(pathVars.USE_ANNOTATION_TYPE)){ + // writing list of annotation entities + for(int i = 0; i < annotationsType.size(); i++){ + String feature = annotationsType.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "annotationType" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + } + + if(Boolean.valueOf(pathVars.USE_TITLE_FEATURE)){ + // write list of title features + for( int i = 0; i < titleAnnot.size(); i++){ + + String feature = titleAnnot.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "titleAnnot" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + + } + + if(Boolean.valueOf(pathVars.USE_ECNUM_FEATURE)){ + // writing list of EC numbers + for(int i = 0; i < ecnumbers.size(); i++){ + String feature = ecnumbers.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "ECnumber" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + } + } + + if (Boolean.valueOf(pathVars.USE_TITLE_NGRAMS)){ + // writing list of ngrams on titles + for( int i = 0; i < titleGrams.size(); i++){ + + String feature = titleGrams.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + namefeature = namefeature.replaceAll("<|>", ""); + String ref = "titleNgram" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + } + + if (Boolean.valueOf(pathVars.USE_NGRAM_FEATURE)){ + // write list of ngrams + for(int i = 0; i < nGrams.size(); i++){ + + String feature = nGrams.get(i); + String namefeature = feature.replaceAll("\\s", "-"); + namefeature = namefeature.replaceAll("[,:=+']", "-"); + String ref = "Ngram" + String.valueOf(i) + namefeature; + + headerArff.append("@ATTRIBUTE " + ref + "\tREAL \t\t%" + feature + "\n"); + + } + } + + // writing the dataset classes + headerArff.append("@ATTRIBUTE class {positive, negative}\n"); + headerArff.append("@DATA\n"); + + return headerArff.toString(); + } + + /** + * Iterates over the list of features and + * counts number of features containing + * on a given document. + * + * @param jTitle title of journal + * @param title title of paper + * @param text abstract content + * @param ecnum paper EC numbers + * @param classTriage triage classification: positive or negative + * @param exp experiment type: train or test + * @return String holding counts for all features found in a document + */ + + public String getArffLine(String paperID, String jTitle, String title, String text, String ecnum, String classTriage, int exp){ + //String vectorArff = ""; + StringBuilder vectorArff = new StringBuilder(); + + paperID = removeSpecialChar(paperID.toLowerCase()); + text = removeSpecialChar(text.toLowerCase()); + title = removeSpecialChar(title.toLowerCase()); + jTitle = removeSpecialChar(jTitle.toLowerCase()); + ecnum = removeSpecialChar(ecnum); + + int emptyabs = 0; + + // fill title and text sizes (number of words) + // annotation markups do not matter because + // they do not introduce blank spaces hence + // they do not modify the number of words found + if (Boolean.valueOf(pathVars.USE_TEXT_SIZE)){ + + String[] titleGrams = StringUtils.split(title," "); + int titlesize = titleGrams.length; + + String[] abstractcontent = StringUtils.split(text," "); + int abstractsize = abstractcontent.length; + + if(abstractsize == 1){ + emptyabs++; + } + + vectorArff.append(titlesize).append(",").append(abstractsize).append(","); + } + + //fill ID of documents + if(Boolean.valueOf(pathVars.USE_DOC_ID)){ + + if(paperID.length()>0){ + vectorArff.append(paperID).append(","); + } + else{ + vectorArff.append("0,"); + } + } + + //fill values of journal titles + if(Boolean.valueOf(pathVars.USE_JOURNAL_TITLE_FEATURE)){ + + for(int i = 0; i < journalTitles.size(); i++){ + String jfeat = ""; + int jfeatcount = 0; + jfeat = journalTitles.get(i).replaceFirst(" ", ""); + + if(jTitle.contains(jfeat)){ + jfeatcount = StringUtils.countMatches(jTitle, jfeat); + vectorArff.append(jfeatcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + // fill values of annotation types taken into account + // either only the abstract or abstract and title + // adds on vector the count of occurrences + if (Boolean.valueOf(pathVars.USE_ANNOTATION_FEATURE)){ + + for(int i = 0; i < annotations.size(); i++){ + String anfeat = ""; + int anfeatcount = 0; + anfeat = annotations.get(i).replaceFirst(" ", "").toLowerCase(); + + //in case the text has current annotation + if (text.contains(anfeat)){ + //check the count of the annotation + if((Boolean.valueOf(pathVars.USE_TITLE_FEATURE))){ + anfeatcount = StringUtils.countMatches(text, anfeat); + } + //adding title annot count to annotations + else if (!(Boolean.valueOf(pathVars.USE_TITLE_FEATURE))){ + anfeatcount = StringUtils.countMatches(text, anfeat); + //in case title has annotation, add to count + if(title.contains(anfeat)){ + anfeatcount = anfeatcount + StringUtils.countMatches(title, anfeat); + } + } + vectorArff.append(anfeatcount).append(","); + } + //handles the case that only the title (but not abstract) has current annotation + else if((!(Boolean.valueOf(pathVars.USE_TITLE_FEATURE)))){ + if(title.contains(anfeat)){ + anfeatcount = StringUtils.countMatches(title, anfeat); + } + vectorArff.append(anfeatcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + //fill values of abstract annotation types + if(Boolean.valueOf(pathVars.USE_ANNOTATION_TYPE)){ + + for(int i = 0; i < annotationsType.size(); i++){ + String antype = ""; + int antypecount = 0; + antype = annotationsType.get(i).replaceFirst(" ", "").toLowerCase(); + + if (text.contains(antype)){ + //divided by 2 to match occurance + //(count considers open and close tags) + antypecount = (StringUtils.countMatches(text, antype))/2; + vectorArff.append(antypecount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + + } + + //fill values of title annotations + if (Boolean.valueOf(pathVars.USE_TITLE_FEATURE)){ + + for( int i =0; i < titleAnnot.size(); i++){ + String titfeat = ""; + int titfeatcount = 0; + titfeat = titleAnnot.get(i).replaceFirst(" ", "").toLowerCase(); + + if (title.contains(titfeat)){ + titfeatcount = StringUtils.countMatches(title, titfeat); + vectorArff.append(titfeatcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + if(Boolean.valueOf(pathVars.USE_ECNUM_FEATURE)){ + + for(int i = 0; i < ecnumbers.size(); i++){ + String ecfeat = ""; + int ecnumcount = 0; + ecfeat = ecnumbers.get(i); + + if(ecnum.contains(ecfeat)){ + ecnumcount = StringUtils.countMatches(ecnum, ecfeat); + vectorArff.append(ecnumcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + // fill only values of title ngrams + if(Boolean.valueOf(pathVars.USE_TITLE_NGRAMS)){ + + String cleanTitle = removeTags(title.toLowerCase()); + + for( int i =0; i < titleGrams.size(); i++){ + String titgram = ""; + int titgramcount = 0; + titgram = titleGrams.get(i).toLowerCase(); + + //in case the title has current ngram + if (cleanTitle.contains(titgram)){ + //check the count of the ngram + titgramcount = StringUtils.countMatches(cleanTitle, titgram); + + //adding weight to current ngram count + if(Boolean.valueOf(pathVars.USE_WEIGHTED_NGRAM)){ + titgramcount = applyWeight(titgramcount, Integer.parseInt(pathVars.WEIGHT)); + } + vectorArff.append(titgramcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + // fill values of ngrams + if (Boolean.valueOf(pathVars.USE_NGRAM_FEATURE)){ + String cleanText = removeTags(text.toLowerCase()); + String cleanTitle = removeTags(title.toLowerCase()); + + for( int i = 0; i < nGrams.size(); i++){ + String ngramfeat = ""; + int ngramcount = 0; + ngramfeat = nGrams.get(i).toLowerCase(); + + //in case the text has current ngram + if (cleanText.contains(ngramfeat)){ + //check the count of the ngram + if(Boolean.valueOf(pathVars.USE_TITLE_NGRAMS)){ + ngramcount = StringUtils.countMatches(cleanText, ngramfeat); + + //adding weight to current ngram count + if(Boolean.valueOf(pathVars.USE_WEIGHTED_NGRAM)){ + ngramcount = applyWeight(ngramcount, Integer.parseInt(pathVars.WEIGHT)); + } + } + //checking if title ngrams should be added to the count + else if(!(Boolean.valueOf(pathVars.USE_TITLE_NGRAMS))){ + ngramcount = StringUtils.countMatches(cleanText, ngramfeat); + + //in case title has ngram, add to count + if(cleanTitle.contains(ngramfeat)){ + ngramcount += StringUtils.countMatches(cleanTitle, ngramfeat); + } + + //adding weight to current ngram count + if(Boolean.valueOf(pathVars.USE_WEIGHTED_NGRAM)){ + ngramcount = applyWeight(ngramcount, Integer.parseInt(pathVars.WEIGHT)); + } + } + + vectorArff.append(ngramcount).append(","); + } + ////handles the case that only the title (but not abstract) has current ngram + else if (!(cleanText.contains(ngramfeat))){ + //in case only the title has the ngram, add to count + if(cleanTitle.contains(ngramfeat)){ + ngramcount = StringUtils.countMatches(cleanTitle, ngramfeat); + + //adding weight to ngram count + if(Boolean.valueOf(pathVars.USE_WEIGHTED_NGRAM)){ + ngramcount = applyWeight(ngramcount, Integer.parseInt(pathVars.WEIGHT)); + } + } + vectorArff.append(ngramcount).append(","); + } + else{ + vectorArff.append("0,"); + } + } + } + + + //if(exp == 0){ + if (classTriage.contains("positive")){ + vectorArff.append("positive"); + //vectorArff.append("?"); + } + else { + vectorArff.append("negative"); + //vectorArff.append("?"); + } + //} + + /*else if (exp == 1){ + vectorArff.append("?"); + } */ + + return vectorArff.toString(); + } + + /** + * Cleans a given String from special characters + * + * @param str String to be cleaned + * @return String without special characters + */ + + public String removeSpecialChar(String str){ + str = str.replace("}", ""); + str = str.replace("{", ""); + str = str.replace("]", ""); + str = str.replace("[", ""); + str = str.replace("#", ""); + str = str.replace("*", ""); + str = str.replace(">", ""); + str = str.replace(""", ""); + str = str.replace("&apos", ""); + str = str.replace("&", ""); + str = str.replace("%", ""); + str = str.replace("/", ""); + str = str.replace("\\", ""); + str = str.replace("&", ""); + str = str.replace("=", ""); + str = str.replace("?", ""); + str = str.replace(",", ""); + str = str.replace(":", ""); + str = str.replace(";", ""); + str = str.replace(".", ""); + str = str.replace(")", ""); + str = str.replace("(", ""); + str = str.replace("\t\t", "\t"); + str = str.replace("-", ""); + str = str.replace(" ", ""); + + return str; + } + + /** + * + * @param str + * @return + */ + public String removeTags(String str){ + String[] remove = StringUtils.split(str,""); + StringBuilder sb = new StringBuilder(); + + for(int i = 0; i < remove.length; i++){ + + if(remove[i].equalsIgnoreCase("<")){ + do{ + i++; + } + while(!(remove[i].equalsIgnoreCase(">"))); + } + else sb.append(remove[i]); + } + + return sb.toString(); + } + + public int applyWeight(int count, int weight){ + + if(weight > 0){ + count = count * weight; + } + return count; + } + + + public String informFeatures(ConfigConstants pathVars){ + String value = ""; + if(Boolean.valueOf(pathVars.USE_ANNOTATION_FEATURE)) + value = value + "_annotations"; + if(Boolean.valueOf(pathVars.USE_ANNOTATION_TYPE)) + value = value + "_types"; + if(Boolean.valueOf(pathVars.USE_JOURNAL_TITLE_FEATURE)) + value = value + "_journal"; + if(Boolean.valueOf(pathVars.USE_TITLE_FEATURE) || Boolean.valueOf(pathVars.USE_TITLE_NGRAMS)) + value = value + "_title"; + if(Boolean.valueOf(pathVars.USE_ECNUM_FEATURE)) + value = value + "_ecnum"; + if(Boolean.valueOf(pathVars.USE_NGRAM_FEATURE)) + value = value + "_ngrams_size"+ pathVars.NGRAM_SIZE; + if(Boolean.valueOf(pathVars.USE_NGRAM_FEATURE) && Boolean.valueOf(pathVars.NGRAM_STOP)) + value = value + "_stopwords"; + if(Boolean.valueOf(pathVars.USE_WEIGHTED_NGRAM)) + value = value + "_weight"+ pathVars.WEIGHT; + + return value; + } + + +} diff --git a/src/classifier/.gitignore b/src/classifier/.gitignore new file mode 100644 index 0000000..b92cc15 --- /dev/null +++ b/src/classifier/.gitignore @@ -0,0 +1,3 @@ +/test.class +/train.class +/Trainer.class diff --git a/src/classifier/Trainer.java b/src/classifier/Trainer.java new file mode 100644 index 0000000..5bb317c --- /dev/null +++ b/src/classifier/Trainer.java @@ -0,0 +1,483 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + + +package classifier; +import java.util.ArrayList; +import weka.classifiers.Classifier; +import weka.classifiers.Evaluation; +import weka.classifiers.bayes.NaiveBayes; +import weka.classifiers.evaluation.Prediction; +import weka.classifiers.evaluation.output.prediction.PlainText; +import weka.classifiers.functions.LibSVM; +import weka.classifiers.trees.LMT; +import weka.core.Instances; +import weka.core.Range; +import weka.core.converters.ConverterUtils.DataSource; +import weka.filters.Filter; +import weka.filters.unsupervised.attribute.Remove; +import configure.ConfigConstants; +import filter.InformedFilter; + +/** + * Trains and tests a classifier, + * executes k-fold cross validation on train data + * and outputs the classification results. + * + * @author Hayda Almeida + * @since 2014 + * + */ + +public class Trainer { + + public static int SEED = 1; //the seed for randomizing the data + public static int FOLDS = 5; //the # of folds to generate + double[][] ranking; + String rank; + + boolean verbose = true; + + + /** + * @param args + * @throws Exception + */ + public static void main(String[] args) throws Exception { + + + String classifier = ""; + + //for(int i = 0; i < args.length; i++){ + try{ + + classifier = args[0]; + + if(classifier.length() > 1){ + if(classifier.contains("lmt")) + classifier = "lmt"; + else if(classifier.contains("svm")) + classifier = "svm"; + else classifier = "nb"; + } + + } + catch(Exception e){ + // else{ + System.out.println("A classifier must be given as argument. Use: \n" + + "-lmt -> a LMT classifier; \n" + + "-svm -> a SVM classifier; \n" + + "-nb -> a Naive Bayes classifier. "); + System.exit(0); + } + // } + + ConfigConstants pathVars = new ConfigConstants(); + Trainer evaluator = new Trainer(); + InformedFilter filter = new InformedFilter(); + Classifier cls; + + //Creating classifier + if(classifier.contains("lmt")) + cls = (Classifier) new LMT(); + else if (classifier.contains("svm")) + cls = (Classifier) new LibSVM(); + else + cls = (Classifier) new NaiveBayes(); + + //Loading train data + DataSource sourceTrain = new DataSource(pathVars.HOME_DIR + pathVars.OUTPUT_MODEL + pathVars.ARFF_TRAIN); + Instances trainData = sourceTrain.getDataSet(); + + //Flagging the class index on the training data + trainData.setClassIndex(trainData.numAttributes()-1); + System.out.println("Class index set on training data."); + + System.out.println("Training data loaded. Number of instances: " + trainData.numInstances() + "\n"); + + + //Loading test data + DataSource sourceTest = new DataSource(pathVars.HOME_DIR + pathVars.OUTPUT_MODEL + pathVars.ARFF_TEST); + Instances testData = sourceTest.getDataSet(); + + //Flagging the class index on the training data + testData.setClassIndex(trainData.numAttributes()-1); + System.out.println("Class index set on testing data."); + + System.out.println("Test data loaded. Number of instances: " + testData.numInstances() + "\n"); + + + //filter the file IDs, consider the new training set + Instances filteredTrainData = evaluator.filteredIDs(trainData); + Instances filteredTestData = evaluator.filteredIDs(testData); + + if(Boolean.valueOf(pathVars.USE_ODDS_RATIO)){ + //Calculate OddsRatio for all instances + double[] OR = evaluator.loadFeatureFilter(filteredTrainData, filter, 1, Integer.parseInt(pathVars.OR_THRESHOLD)); + + //Apply Odds Ratio filtering in instances + filteredTrainData = evaluator.applyFilter(pathVars.OR_THRESHOLD, OR, filteredTrainData); + filteredTestData = evaluator.applyFilter(pathVars.OR_THRESHOLD, OR, filteredTestData); + } + + if(Boolean.valueOf(pathVars.USE_IDF)){ + //Calculate idf for all instances + double[] idf = evaluator.loadFeatureFilter(filteredTrainData, filter, 2, Integer.parseInt(pathVars.IDF_THRESHOLD)); + + //Apply idf filtering in instances + filteredTrainData = evaluator.applyFilter(pathVars.IDF_THRESHOLD, idf, filteredTrainData); + filteredTestData = evaluator.applyFilter(pathVars.IDF_THRESHOLD, idf, filteredTestData); + } + + //Training and testing classifier + evaluator.classify(filteredTrainData, filteredTestData, cls, testData); + + } + + /** + * Loads evaluation of attributes according + * to feature selection method provided. + * + * @param data data instances + * @param filter informed filter instance + * @param method identifier for selection method + * @return + */ + private double[] loadFeatureFilter(Instances data, InformedFilter filter, int method, int threshold){ + + double[] values = new double[data.numAttributes()]; + + switch(method){ + + case 1: + values = filter.oddsRatio(data, threshold); + break; + case 2: + values = filter.idf(data, threshold); + break; + } + + return values; + } + + /** + * Uses evaluation of features according to + * selection method to remove attributes from + * the dataset before training phase. + * + * @param threshold selection method threshold + * @param values evaluation of attributes according to method + * @param data dataset instances + * @return filtered dataset instances + * @throws Exception + */ + private Instances applyFilter(String threshold, double[] values, Instances data) throws Exception{ + int numberRemoved = 0; + + String indexRemove = ""; + + for(int i = 0; i < values.length; i++){ + if(values[i] == 0){ + + int ind = i+1; + + if(indexRemove.length()==0) indexRemove = ind + ""; + else indexRemove = indexRemove + "," + ind; + + numberRemoved++; + } + } + + try{ + indexRemove = indexRemove.substring(0, indexRemove.length()-1); + //if(verbose) + System.out.println("\n = = = = => Filter removed " + numberRemoved +" attributes: " + indexRemove.toString() ); + } + catch (Exception e){ + System.out.println("\n = = = = => Filter threshold did not remove any attribute."); + } + + Remove remove = new Remove(); + remove.setAttributeIndices(indexRemove); + remove.setInvertSelection(false); + remove.setInputFormat(data); + + Instances dataSubset = Filter.useFilter(data, remove); + return dataSubset; + } + + + /** + * Removes the ID attribute (index 1) + * from a given dataset + * + * @param data instances + * @return filtered dataset + * @throws Exception + */ + private Instances filteredIDs(Instances data) throws Exception { + Remove remove = new Remove(); + //setting index to be removed + remove.setAttributeIndices("1"); + remove.setInvertSelection(false); + remove.setInputFormat(data); + + Instances dataSubset = Filter.useFilter(data, remove); + return dataSubset; + } + + + /** + * Trains and tests a classifier when two separated + * datasets are provided. + * + * @param train training data to build classifier + * @param test test data to evaluate classifier + * @param classif type of classifier applied + * @throws Exception + */ + public void classify(Instances filteredTrain, Instances filteredTest, Classifier classif, Instances test) throws Exception{ + + StringBuffer sb = new StringBuffer(); + PlainText prediction = new PlainText(); + Range attributesToShow = null; + prediction.setBuffer(sb); + prediction.setHeader(test); + prediction.setOutputDistribution(true); + + classif.buildClassifier(filteredTrain); + + Evaluation evaluateClassifier = new Evaluation(filteredTrain); + evaluateClassifier.evaluateModel(classif, filteredTest, prediction, attributesToShow, true); + //evaluateClassifier.evaluateModel(classif, filteredTest); + + stats(evaluateClassifier, classif); + + ArrayList output = evaluateClassifier.predictions(); + + if(verbose){ + for(int i = 0; i < output.size(); i++){ + double act = output.get(i).actual(); + String actual; + if(act == 1.0) actual = "negative"; else actual = "positive"; + + double pred = output.get(i).predicted(); + String predicted; + if(pred == 1.0) predicted = "negative"; else predicted = "positive"; + + String value = test.instance(i).toString(0); + + System.out.println("PMID: "+ value + "\t" + + "Actual: " + actual + "\t" + + "Predicted: " + predicted + ); + } } + } + + + /** + * Outputs classifier results. + * + * @param eval Evaluation model built by a classifier + * @param classif type of classifier applied + * @throws Exception + */ + public void stats(Evaluation eval, Classifier classif) throws Exception{ + System.out.println("Number of attributes: " + eval.getHeader().numAttributes()); + System.out.println(eval.toSummaryString("\n======== RESULTS ========\n", false)); + System.out.println(eval.toClassDetailsString("\n\n======== Detailed accuracy by class ========\n")); + System.out.println(eval.toMatrixString("\n\n======== Confusion Matrix ========\n")); + } + + + //Training and testing costSensitive classifier + //evaluator.classify(trainData, testData, evaluator.classifySensitive(cls)); + +// /** +// * Trains and tests a classifier using a +// * provided Cost matrix +// * +// * @param classif type of classifier to be trained +// * @return CostSensitive classifier with costs and classifier +// * @throws Exception +// */ +// public CostSensitiveClassifier classifySensitive(Classifier classif) throws Exception{ +// CostSensitiveClassifier costSensitive = new CostSensitiveClassifier(); +// CostMatrix matrix = new CostMatrix(2); +// matrix.setElement(0, 1, 4); +// matrix.setElement(1, 0, 1); +// costSensitive.setClassifier(classif); +// costSensitive.setCostMatrix(matrix); +// +// return costSensitive; +// } + + //Executing k-fold cross validation on filtered classifiers + //evaluator.crossFold(trainData, PCAclassifier); + //evaluator.crossFold(trainData, LSAclassifier); + +// /** +// * Executes k-fold cross validation +// * on a given dataset +// * @param data training data provided +// * @param classif type of classifier usedsearch +// * @throws Exception +// */ +// public void crossFold(Instances data, Classifier classif) throws Exception{ +// +// Random random = new Random(SEED); //creating seed number generator +// Evaluation evaluateClassifier = new Evaluation(data); +// +// System.out.println("Classifier working...\n\n"); +// //Classifier should not be trained when cross-validation is executed. +// //because subsequent calls to buildClassifier method will return the same results always. +// evaluateClassifier.crossValidateModel(classif, data, FOLDS, random); +// +// stats(evaluateClassifier, classif); +// } + + + //Creating filtered classifiers + //AttributeSelectedClassifier PCAclassifier = evaluator.setPCAFilter(cls); + //AttributeSelectedClassifier LSAclassifier = evaluator.setLSAFilter(cls); + //AttributeSelectedClassifier GRclassifier = evaluator.setGRFilter(cls); + //AttributeSelectedClassifier Corrclassifier = evaluator.setCorrFilter(cls); + +// /** +// * Implements a Filtered GainRatio classifier, +// * using the ranker as a search method. +// * +// * @param classif type of classifier to be used +// * @return filtered classif with Correlation analysis +// */ +// public AttributeSelectedClassifier setGRFilter(Classifier classif){ +// AttributeSelectedClassifier fClassif = new AttributeSelectedClassifier(); +// +// //Creating evaluator and search method +// GainRatioAttributeEval GR = new GainRatioAttributeEval(); +// Ranker rank = new Ranker(); +// //return the attributes with evaluation greater than 0 +// double threshold = 0.0; +// rank.setThreshold(threshold); +// +// //Setting GainRatio filtered classifier +// fClassif.setClassifier(classif); +// fClassif.setEvaluator(GR); +// fClassif.setSearch(rank); +// +// return fClassif; +// +// } +// +// /** +// * Implements a Filtered Correlation classifier, +// * using the ranker as a search method. +// * +// * @param classif type of classifier to be used +// * @return filtered classif with Correlation analysis +// */ +// public AttributeSelectedClassifier setCorrFilter(Classifier classif){ +// AttributeSelectedClassifier fClassif = new AttributeSelectedClassifier(); +// +// //Creating evaluator and search method +// CorrelationAttributeEval Corr = new CorrelationAttributeEval(); +// Ranker rank = new Ranker(); +// +// //return the attributes with evaluation greater than 0 +// double threshold = 0.03; +// rank.setThreshold(threshold); +// +// //Setting GainRatio filtered classifier +// fClassif.setClassifier(classif); +// fClassif.setEvaluator(Corr); +// fClassif.setSearch(rank); +// +// return fClassif; +// +// } +// +// /** +// * Implements a Filtered PCA classifier, +// * using the ranker as a search method. +// * +// * @param classif type of classifier to be used +// * @return filtered classif with PCA analysis config +// */ +// public AttributeSelectedClassifier setPCAFilter(Classifier classif){ +// AttributeSelectedClassifier fClassif = new AttributeSelectedClassifier(); +// +// //Creating evaluator and search method +// PrincipalComponents PCA = new PrincipalComponents(); +// PCA.setMaximumAttributeNames(-1); +// Ranker rank = new Ranker(); +// //return the attributes with evaluation greater than 0 +// rank.setThreshold(0); +// +// //Setting the PCA classifier configurations +// fClassif.setClassifier(classif); +// fClassif.setEvaluator(PCA); +// fClassif.setSearch(rank); +// +// return fClassif; +// } +// +// /** +// * Implements a Filtered LSA classifier, +// * using the ranker as a search method +// * @param classif +// * @return +// */ +// private AttributeSelectedClassifier setLSAFilter(Classifier classif) { +// AttributeSelectedClassifier fClassif = new AttributeSelectedClassifier(); +// +// //Creating evaluator +// LatentSemanticAnalysis LSA = new LatentSemanticAnalysis(); +// LSA.setMaximumAttributeNames(-1); +// //value between 0 and 1 includes proportion of total latent variables +// //greater than 1 = exact # of variables to include; +// //less than or equal zero = include all; +// //default = 0.95 (proportional) +// double defaul = 0; +// LSA.setRank(defaul); +// //Creating search method +// Ranker rank = new Ranker(); +// rank.setThreshold(0); +// +// //Setting the LSA classifier configurations +// fClassif.setClassifier(classif); +// fClassif.setEvaluator(LSA); +// fClassif.setSearch(rank); +// +// return fClassif; +// } + + + +} diff --git a/src/configure/.gitignore b/src/configure/.gitignore new file mode 100644 index 0000000..26ecd44 --- /dev/null +++ b/src/configure/.gitignore @@ -0,0 +1,2 @@ +/DeprecatedVariables.class +/PathConstants.class diff --git a/src/configure/ConfigConstants.java b/src/configure/ConfigConstants.java new file mode 100644 index 0000000..eb6b602 --- /dev/null +++ b/src/configure/ConfigConstants.java @@ -0,0 +1,220 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +*** +* This class re-uses https://code.google.com/p/semlinker/source/browse/trunk/src/configure/NistKBPConfiguration.java +* The code authors: Eric Charton http://www.echarton.com twitter.com/ericcharton +* Marie-Jean Meurs http://mjmrsc.com/research/ twitter.com/mjmrsc +* +* This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License +* as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. +*/ + +package configure; + +import java.io.BufferedReader; +import java.io.FileReader; +import java.io.IOException; +import java.io.InputStreamReader; +import java.util.HashMap; +import java.util.logging.Level; +import java.util.logging.Logger; + +/** + * + * Variables used by the software + * + * @author Hayda Almeida, Marie-Jean Meurs + * @since 2014 + * + */ +public class ConfigConstants { + + public static String CONFIG_FILE = "config.cfg"; + + /** + * Default constructor + */ + public ConfigConstants() { + initVars(); + } + + /** + * Constructor with custom parameter file. + * @param configfile + */ +// public ConfigConstants(String configfile) { +// CONFIG_FILE = configfile; +// initVars(); +// } + + + //public static String CONFIG_FILE = "config.cfg"; + public HashMap CONFIG_MAP = new HashMap(); + + //Input files + public String HOME_DIR; + public String CORPUS_DIR; + public String DUP_DIR; + public String POS_DIR; + public String NEG_DIR; + public String TRAIN_DIR; + public String TEST_DIR; + public String FEATURE_DIR; + public String OUTPUT_MODEL; + + public String TRAINING_FILE; + public String TEST_FILE; + public String ARFF_TRAIN; + public String ARFF_TEST; + public String STOP_LIST; + + //corpus sampling + public String SAMPLE_TRAIN; + public String SAMPLE_TEST; + public String PERCT_TEST; + public String PERCT_POS_TRAIN; + public String PERCT_POS_TEST; + + //Output files + public String JOURNAL_TITLE_FEATURES; + public String ECNUM_FEATURES; + public String ANNOTATION_FEATURES; + public String TITLE_FEATURES; + public String NGRAM_FEATURES; + public String TITLE_NGRAMS; + public String DOC_IDS; + + //Feature setup + public String USE_TEXT_SIZE; + public String USE_JOURNAL_TITLE_FEATURE; + public String USE_ECNUM_FEATURE; + public String FEATURE_MIN_FREQ; + public String FEATURE_MIN_LENGTH; + + //Feature setup - Annotations + public String USE_ANNOTATION_FEATURE; + public String USE_ANNOTATION_TYPE; + public String USE_TITLE_FEATURE; + public String USE_DOC_ID; + + //Feature setup - Ngrams + public String USE_NGRAM_FEATURE; + public String USE_TITLE_NGRAMS; + public String NGRAM_STOP; + public String NGRAM_SIZE; + public String USE_WEIGHTED_NGRAM; + public String WEIGHT; + + //Feature filtering + public String USE_ODDS_RATIO; + public String OR_THRESHOLD; + public String USE_IDF; + public String IDF_THRESHOLD; + + //Task setup + public String EXP_TYPE; + public String NB_PARAMS; + + + private void initVars() { + String text = null; + + try { + BufferedReader reader = new BufferedReader(new InputStreamReader( + this.getClass().getClassLoader().getResourceAsStream(CONFIG_FILE))); + //BufferedReader reader = new BufferedReader(new InputStreamReader(in)); + while ((text = reader.readLine()) != null) { + if (! text.startsWith("#")) { + String label = text.split("=")[0]; + String value = text.split("=")[1]; + CONFIG_MAP.put(label, value); + } + } + reader.close(); + } catch (IOException ex) { + Logger.getLogger(ConfigConstants.class.getName()).log(Level.SEVERE, null, ex); + } + HOME_DIR = CONFIG_MAP.get("HOME_DIR"); + CORPUS_DIR = CONFIG_MAP.get("CORPUS_DIR"); + DUP_DIR = CONFIG_MAP.get("DUP_DIR"); + POS_DIR = CONFIG_MAP.get("POS_DIR"); + NEG_DIR = CONFIG_MAP.get("NEG_DIR"); + TRAIN_DIR = CONFIG_MAP.get("TRAIN_DIR"); + TEST_DIR = CONFIG_MAP.get("TEST_DIR"); + FEATURE_DIR = CONFIG_MAP.get("FEATURE_DIR"); + OUTPUT_MODEL = CONFIG_MAP.get("OUTPUT_MODEL"); + + TRAINING_FILE = CONFIG_MAP.get("TRAINING_FILE"); + TEST_FILE = CONFIG_MAP.get("TEST_FILE"); + ARFF_TRAIN = CONFIG_MAP.get("ARFF_TRAIN"); + ARFF_TEST = CONFIG_MAP.get("ARFF_TEST"); + STOP_LIST = CONFIG_MAP.get("STOP_LIST"); + + SAMPLE_TRAIN = CONFIG_MAP.get("SAMPLE_TRAIN"); + SAMPLE_TEST = CONFIG_MAP.get("SAMPLE_TEST"); + PERCT_TEST = CONFIG_MAP.get("PERCT_TEST"); + PERCT_POS_TRAIN = CONFIG_MAP.get("PERCT_POS_TRAIN"); + PERCT_POS_TEST = CONFIG_MAP.get("PERCT_POS_TEST"); + + JOURNAL_TITLE_FEATURES = CONFIG_MAP.get("JOURNAL_TITLE_FEATURES"); + ECNUM_FEATURES = CONFIG_MAP.get("ECNUM_FEATURES"); + ANNOTATION_FEATURES = CONFIG_MAP.get("ANNOTATION_FEATURES"); + TITLE_FEATURES = CONFIG_MAP.get("TITLE_FEATURES"); + NGRAM_FEATURES = CONFIG_MAP.get("NGRAM_FEATURES"); + TITLE_NGRAMS = CONFIG_MAP.get("TITLE_NGRAMS"); + DOC_IDS = CONFIG_MAP.get("DOC_IDS"); + + USE_TEXT_SIZE = CONFIG_MAP.get("USE_TEXT_SIZE"); + USE_JOURNAL_TITLE_FEATURE = CONFIG_MAP.get("USE_JOURNAL_TITLE_FEATURE"); + USE_ECNUM_FEATURE = CONFIG_MAP.get("USE_ECNUM_FEATURE"); + FEATURE_MIN_FREQ = CONFIG_MAP.get("FEATURE_MIN_FREQ"); + FEATURE_MIN_LENGTH = CONFIG_MAP.get("FEATURE_MIN_LENGTH"); + + USE_ANNOTATION_FEATURE = CONFIG_MAP.get("USE_ANNOTATION_FEATURE"); + USE_ANNOTATION_TYPE = CONFIG_MAP.get("USE_ANNOTATION_TYPE"); + USE_TITLE_FEATURE = CONFIG_MAP.get("USE_TITLE_FEATURE"); + USE_DOC_ID = CONFIG_MAP.get("USE_DOC_ID"); + + USE_NGRAM_FEATURE = CONFIG_MAP.get("USE_NGRAM_FEATURE"); + USE_TITLE_NGRAMS = CONFIG_MAP.get("USE_TITLE_NGRAMS"); + NGRAM_STOP = CONFIG_MAP.get("NGRAM_STOP"); + NGRAM_SIZE = CONFIG_MAP.get("NGRAM_SIZE"); + USE_WEIGHTED_NGRAM = CONFIG_MAP.get("USE_WEIGHTED_NGRAM"); + WEIGHT = CONFIG_MAP.get("WEIGHT"); + + USE_ODDS_RATIO = CONFIG_MAP.get("USE_ODDS_RATIO"); + OR_THRESHOLD = CONFIG_MAP.get("OR_THRESHOLD"); + USE_IDF = CONFIG_MAP.get("USE_IDF"); + IDF_THRESHOLD = CONFIG_MAP.get("IDF_THRESHOLD"); + + EXP_TYPE = CONFIG_MAP.get("EXP_TYPE"); + NB_PARAMS = CONFIG_MAP.get("NB_PARAMS"); + + } +} diff --git a/src/filter/InformedFilter.java b/src/filter/InformedFilter.java new file mode 100644 index 0000000..4b125db --- /dev/null +++ b/src/filter/InformedFilter.java @@ -0,0 +1,182 @@ +package filter; + +import weka.core.Attribute; +import weka.core.Instances; + +/** + * This class implements informed feature selection + * methods, to be used as filters after vector + * generation and pre-model building + * + * @author Hayda Almeida + * @since 2015 + * + */ +public class InformedFilter { + + private boolean verbose = true; + + /** + * Calculates oddsRatio of each feature + * in a given set of Instances + * + * @param data set of instances, read from ARFF file + * @return oddsRatio for each attribute in the matrix + */ + public double[] oddsRatio(Instances data, int threshold){ + + double[] oddsRatio = new double[data.numAttributes()]; + + + for(int i = 0; i < data.numAttributes()-1; i++ ){ + + double OR = 0; + + Attribute current = data.attribute(i); + double pos_docs = 0, //number of documents in class C + pos_oc = 0, //number of times term t occured in class C + pos_term_docs = 0, //number of docs in class C that have term + pos_not_docs = 0, //number of docs in class C that do not have term + neg_term_docs = 0, //number of docs not in class C with term + neg_not_docs = 0, //number of docs not in class C nor with term + neg_docs = 0; //number of documents not in class C + + for(int j = 0; j < data.size(); j++){ + + double current_value = data.instance(j).value(current); + double current_class = data.instance(j).classValue(); + + //class is positive + if(current_class < 1){ + pos_docs = pos_docs + 1; + + //the feature occurred in the document + if(current_value > 0){ + pos_oc = pos_oc + current_value; + pos_term_docs = pos_term_docs +1; + } + //the feature did not occur in positive docs + else pos_not_docs = pos_not_docs + 1; + } + //class is negative + else{ + neg_docs = neg_docs+1; + + //the feature occurred in the document + if(current_value > 0){ + neg_term_docs = neg_term_docs +1; + } + //the feature did not occur in negative docs + else neg_not_docs = neg_not_docs + 1; + } + + } + + OR = ( ( (pos_term_docs / pos_docs) / (pos_not_docs/ pos_docs) ) / + ( (neg_term_docs / neg_docs) / (neg_not_docs / neg_docs) ) ); + + // OR = (pos_term_docs / pos_not_docs) / (neg_term_docs / neg_not_docs); + + + //99% confidence: 2.575 + //95% confidence: 1.96 + double confidenceLow = Math.exp(Math.log(OR) - (1.96 * Math.sqrt((1/pos_term_docs) + (1/pos_not_docs) + (1/neg_term_docs) + (1/neg_not_docs)))); + double confidenceHigh = Math.exp(Math.log(OR) + (1.96 * Math.sqrt((1/pos_term_docs) + (1/pos_not_docs) + (1/neg_term_docs) + (1/neg_not_docs)))); + + //checking if OR value is within the confidence interval + //and if it satisfies the threshold + if( ((OR <= confidenceHigh) && (OR >= confidenceLow) + && !(OR == threshold)) + //checking if the confidence interval holds the null hypothesis (i.e., spans 1.0) + && !(confidenceLow <=1 && confidenceHigh >=1)) + oddsRatio[i] = OR; + else + oddsRatio[i] = 0; + + if(verbose){ + System.out.println("Attribute: "+ data.attribute(i).toString() +"\t\t OddsRatio: " + oddsRatio[i] + + "\tConfidenceLow: " + confidenceLow + "\tConfidenceHigh: "+ confidenceHigh); + } + } + + return oddsRatio; + } + + /** + * Calculates the inverse document frequency + * for each attribute in the dataset. + * + * @param data instances + * @param threshold + * @return list of idfs for each attribute + */ + public double[] idf(Instances data, int threshold){ + + double[] idf = new double[data.numAttributes()]; + + for(int i = 0; i < data.numAttributes()-1; i++ ){ + + double idf_at = 0; + double idf_at2 = 0; + + Attribute current = data.attribute(i); + double pos_docs = 0, //number of documents in class C + pos_term_docs = 0, //number of docs in class C that have term + neg_term_docs = 0, //number of docs not in class C with term + neg_docs = 0; //number of documents not in class C + + for(int j = 0; j < data.size(); j++){ + + double current_value = data.instance(j).value(current); + double current_class = data.instance(j).classValue(); + + //class is positive + if(current_class < 1){ + pos_docs = pos_docs + 1; + + //the feature occurred in the document + if(current_value > 0){ + pos_term_docs = pos_term_docs +1; + } + } + else{ + //class is negative + neg_docs = neg_docs+1; + + //the feature occurred in the document + if(current_value > 0){ + neg_term_docs = neg_term_docs +1; + } + } + } + +// double idf_pos = Math.log((pos_docs)/(pos_term_docs)); +// double idf_neg = Math.log((neg_docs)/(neg_term_docs)); + + //check if the idf in the "positive" collection + //is greater than the idf in the "negative" collection +// if (idf_pos > idf_neg) +// idf_at = idf_pos; +// +// else idf_at = 0; + + idf_at = Math.log((pos_docs + neg_docs)/(pos_term_docs + neg_term_docs)); + + if(idf_at <= threshold) + idf[i] = 0; + else + idf[i] = idf_at; + } + + if(verbose){ + for(int i = 0; i < idf.length; i++){ + if(idf[i]>0) + System.out.println("Attribute: "+ data.attribute(i).toString()+ "\t\t\t IDF: " + idf[i]); + } + } + + return idf; + } + + +} diff --git a/src/filter/NaiveFilter.java b/src/filter/NaiveFilter.java new file mode 100644 index 0000000..761787c --- /dev/null +++ b/src/filter/NaiveFilter.java @@ -0,0 +1,139 @@ +package filter; + +import java.io.BufferedReader; +import java.io.FileNotFoundException; +import java.io.FileReader; +import java.io.IOException; +import java.util.HashMap; +import java.util.Iterator; +import java.util.Map; + +import org.apache.commons.lang3.StringUtils; + +import configure.ConfigConstants; + +/** + * + * This class implements naive feature filtering methods + * to be used by the extractor processes pre-vector building + * + * @author Hayda Almeida + * @since 2015 + * + */ +public class NaiveFilter { + + + private boolean verbose = true; + private String[] stopWords; + + + /** + * Removes from feature list all features with + * frequency not statistically relevant (2 or less) + * @param list to be cleaned + */ + public void considerAnnotationOccurence(HashMap,Integer> list, ConfigConstants vars){ + //going over the list of annotations and removing the + //features with occurance lower than specified. + + Iterator> iterator = list.keySet().iterator(); + + while(iterator.hasNext()){ + Map key = iterator.next(); + int valor = list.get(key).intValue(); + + if(valor < Integer.parseInt(vars.FEATURE_MIN_FREQ)){ + iterator.remove(); + } + } + } + + /** + * Removes from feature list all features with + * frequency not statistically relevant (2 or less) + * @param list to be cleaned + */ + public void considerOccurence(HashMap list, ConfigConstants vars){ + //going over the list of annotations and removing the + //statistically not significant features - frequency less than 2 + Iterator iterator = list.values().iterator(); + + while(iterator.hasNext()){ + Integer key = iterator.next(); + + if(key < Integer.parseInt(vars.FEATURE_MIN_FREQ)){ + iterator.remove(); + } + } + } + + /** + * Load the list of PubMed stopwords + * @param path file with stopwords list + * @return list of stopwords + */ + public void loadStopWords(String path){ + + StringBuilder cleaned = new StringBuilder(); + + try{ + + BufferedReader reader = new BufferedReader(new FileReader(path)); + + String line = null; + //loading stop-words list + while((line = reader.readLine()) != null){ + this.stopWords = StringUtils.split(line,","); + System.out.println(""); + //line = reader.readLine(); + } + + reader.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + } + + /** + * Removes stopwords from ngrams list + * + * @param str list of ngrams + * @param constants + * @return cleaned list of ngrams + */ + public String removeStopList(String[] str){ + + StringBuilder cleaned = new StringBuilder(); + + //iteraing over text to be cleaned + for(int i = 0; i < str.length; i++){ + //iterating over stop-words list + for(int j = 0; j < this.stopWords.length; j++){ + + //when stop-word is encountered, replace it + if(str[i].equalsIgnoreCase(this.stopWords[j])){ + str[i] = str[i].replace(str[i],"*"); + } + } + //retrieve the text without stop-words replacements + if(!(str[i].contentEquals("*"))){ + cleaned.append(str[i]).append(" "); + } + } + return cleaned.toString().replace(" ", " "); + } + + public String[] getStopWords() { + return stopWords; + } + + public void setStopWords(String[] stopWords) { + this.stopWords = stopWords; + } + +} diff --git a/src/preprocessing/ConcatXML.java b/src/preprocessing/ConcatXML.java new file mode 100644 index 0000000..89e255f --- /dev/null +++ b/src/preprocessing/ConcatXML.java @@ -0,0 +1,717 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + + +package preprocessing; + +import java.io.BufferedOutputStream; +import java.io.BufferedReader; +import java.io.File; +import java.io.FileInputStream; +import java.io.FileNotFoundException; +import java.io.FileOutputStream; +import java.io.FileReader; +import java.io.FilenameFilter; +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import java.io.PrintWriter; +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.nio.file.StandardCopyOption; +import java.text.SimpleDateFormat; +import java.util.ArrayList; +import java.util.Collections; +import java.util.Comparator; +import java.util.Date; +import java.util.List; + +import org.jsoup.Jsoup; +import org.jsoup.nodes.Document; +import org.jsoup.nodes.Element; +import org.jsoup.select.Elements; + +import configure.PathConstants; + +/** + * Generates a corpus from raw XML doc instances, + * so that features can be extracted from it + * + * @author Hayda Almeida + * @since 2014 + * + */ +public class ConcatXML{ + + private String tag1; + private String tag2; + private String tag3; + private String tag4; + private String id; + private String corpusTag; + private String corpusTagC; + + + public ConcatXML(){ + + this.setId("PMID"); + this.setTag1("(?s)<.*?xml.*?>"); + this.setTag2("(?s)<.*?!DOCTYPE.*?>"); + this.setTag3("(?s)<.*?corpus.*?>"); + this.seTag4("(?s)<.*?/corpus.*?>"); + this.setCorpusTag(""); + this.setCorpusTag(""); + } + + + + public static void main(String[] args) throws Exception { + + PathConstants pathVars = new PathConstants(); + + String xmlDir = ""; + if(Integer.parseInt(pathVars.EXP_TYPE)== 1) + xmlDir = "test"; + else xmlDir = "train"; + + String sourceDir = "", duplicatesDir = ""; + + Boolean dc = false, df = false, cl = false, cc = false; + + for(int i = 0; i < args.length; i++){ + try{ + if(args[i].matches("-dc")) dc = true; + if(args[i].matches("-df")) df = true; + if(args[i].matches("-cl")) cl = true; + if(args[i].matches("-cc")) cc = true; + } + catch(Exception e){ + System.out.println("Use: \n" + + "-tr -> train, -ts -> test; \n " + + "-dc -> check duplicates in corpus vs. folder; \n " + + "-df -> check duplicates in two folders; \n" + + "-cl -> clean a source folder; \n" + + "-cc -> concatenate files in a folder "); + System.exit(0); + }; + } + + String timeStamp = new SimpleDateFormat("yyyyMMdd_hh:mm").format(new Date()); + String trainCorpusPath = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TRAINING_FILE; + + sourceDir = pathVars.HOME_DIR + pathVars.CORPUS_DIR + xmlDir; + duplicatesDir = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.DUP_DIR; + + String concatCorpus = pathVars.HOME_DIR + pathVars.CORPUS_DIR +"triagecorpus_"+ xmlDir +"_"+timeStamp+".xml"; + String tagCorpus = concatCorpus; + + ConcatXML concat = new ConcatXML(); + + //================= Checking for duplicates =====================// + if(dc) concat.checkDupCorpus(trainCorpusPath, sourceDir); + if(df) concat.checkDupFolder(sourceDir, duplicatesDir); + + //================== Creating corpus ==========================// + if(cl){ + concat.cleanXML(sourceDir); + if(duplicatesDir.length()>1) + concat.cleanXML(duplicatesDir); + } + if(cc){ + concat.concatenateXML(sourceDir, "", concatCorpus); + concat.tagCorpus(tagCorpus); + } + } + + /** + * Returns the ID of a XML jsoup document + * @param doc a XML doc parsed by jsoup + * @return ID string + * @throws IOException + */ + public String returnID(Document doc) throws IOException{ + + String id = ""; + + Elements paper = doc.body().getElementsByTag("pubmedarticleset"); + + //fetching the paper ID - + //for all items in a paper, retrieve only PMIDs + for(Element e : paper.select(getId())){ + //only consider the ID if the parent is medline citation + if(e.parentNode().nodeName().contains("medline")){ + id = e.text(); + } + } + return id; + } + + /** + * Reads the file IDs in a folder and + * checks a second folder for duplicates. + * + * @param dirSrc source folder + * @param dirDup folder to check for duplicates + */ + + public void checkDupFolder(String dirSrc, String dirDup){ + ArrayList sourceIDs = new ArrayList(); + ArrayList duplicated = new ArrayList(); + ArrayList dupIDs = new ArrayList(); + int ids = 0; + + if(dirSrc.contentEquals(dirDup)){ + System.out.println("Source and duplicates directories are the same.\n\n========================\n"); + } + else { + + File sourceDir = new File(dirSrc); + File[] srcXMLs = sourceDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the source dir + for (File xml : srcXMLs){ + + try{ + + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + sourceIDs.add(id); + ids++; + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println(ids + " source file IDs encountered."); + ids = 0; + + File dupDir = new File(dirDup); + + File[] dupXMLs = dupDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the possibly duplicated dir + for (File xml : dupXMLs){ + + try{ + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + dupIDs.add(id); + String dupFileID = id; + ids++; + + for(int j = 0; j < sourceIDs.size(); j++){ + if(sourceIDs.get(j).equalsIgnoreCase(dupFileID)){ + + //add ID to duplicated list + duplicated.add(dupFileID); + + //rename the original file + Path from = xml.toPath(); //convert from File to Path + Path to = Paths.get(xml.toPath()+".duplicated"); //convert from String to Path + Files.move(from, to, StandardCopyOption.REPLACE_EXISTING); + } + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + //count number of existing papers on possibly duplicated folder + //just to make sure we are gathering all IDs + System.out.println(ids + " new file IDs encountered."); + ids = 0; + //sorting the list of duplicated IDs + Collections.sort(duplicated, new Comparator(){ + @Override + public int compare(String one, String two){ + return one.compareTo(two); + } + }); + + System.out.println("\nReaded source files: " + sourceIDs.size()); + System.out.println("Readed new files: " + dupIDs.size()); + + System.out.println("\nDuplicated files renamed: " + duplicated.size()+"\n"); + + System.out.println("\nDuplicated files IDs: "); + for(int i = 0; i < duplicated.size(); i++){ + System.out.println(duplicated.get(i)); + } + + System.out.println("\n========================\n"); + } + + + } + + /** + * Reads the corpus and checks the papers IDs + * to identify duplicates in case new papers + * are being concatenated to corpus. + * + * @param corpus path to current corpora to check + * @param dir path to folder with new files to be concatenated + */ + + public void checkDupCorpus(String corpus, String dir){ + ArrayList trainingIDs = new ArrayList(); + ArrayList duplicated = new ArrayList(); + ArrayList newFiles = new ArrayList(); + + int ids = 0; + + try + { + File input = new File(corpus); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + Elements corp = doc.body().getElementsByTag("pubmedarticleset"); + + String id = ""; + + for(Element paper : corp){ + Document thisDoc = Jsoup.parseBodyFragment(paper.toString()); + + //fetching the document ID + id = returnID(thisDoc); + + if(!id.isEmpty()){ + trainingIDs.add(id); + ids++; + } + } + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + System.out.println(ids + " training file IDs encountered."); + ids = 0; + + File corpusDir = new File(dir); + File[] newXMLs = corpusDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the corpus dir + for (File xml : newXMLs){ + + try{ + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + + newFiles.add(id); + String newFileID = id; + ids++; + + + for(int j = 0; j < trainingIDs.size(); j++){ + if(trainingIDs.get(j).equalsIgnoreCase(newFileID)){ + + //add ID to duplicated list + duplicated.add(newFileID); + + //moving the original file + Path from = xml.toPath(); //convert from File to Path + Path to = Paths.get(xml.toPath()+".duplicated"); //convert from String to Path + Files.move(from, to, StandardCopyOption.REPLACE_EXISTING); + } + } + } + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + //count number of existing papers on the training file + //just to make sure we are gathering all IDs + System.out.println(ids + " new file IDs encountered."); + ids = 0; + + + //sorting the list of duplicated IDs + Collections.sort(duplicated, new Comparator(){ + @Override + public int compare(String one, String two){ + return one.compareTo(two); + } + }); + + System.out.println("\nReaded training files: " + trainingIDs.size()); + System.out.println("Readed new files: " + newFiles.size()); + + System.out.println("\nDuplicated files renamed: " + duplicated.size()+"\n"); + + System.out.println("\nDuplicated files IDs: "); + for(int i = 0; i < duplicated.size(); i++){ + System.out.println(duplicated.get(i)); + } + + System.out.println("\n========================\n"); + + } + + + /** + * Reads and edits a list of XMLs files in a folder + * to remove XML and previous corpus tags, + * preparing the files to be concatenated. + * + * @param dir string with folder path + */ + + public void cleanXML(String dir){ + + //listing files on corpus dir + File sourceDir = new File(dir); + + File[] newXMLs = sourceDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + System.out.println("... Files list loaded."); + + try{ + //for each file on the corpus dir + for (File xml : newXMLs){ + + try{ + BufferedReader reader = new BufferedReader(new FileReader(xml.getPath())); + + String line = null; + ArrayList allLines = new ArrayList(); + String content = null; + + while((line = reader.readLine()) != null){ + content = line; + + //cleaning XML markups + content = content.replaceFirst(getTag1(), ""); + content = content.replaceFirst(getTag2(), ""); + //cleaning previous corpus tags + content = content.replaceFirst(getTag3(), ""); + content = content.replaceFirst(getTag4(), ""); + allLines.add(content); + } + + PrintWriter writer = new PrintWriter(xml.getPath()); + + for (String l : allLines){ + writer.println(l); + } + reader.close(); + writer.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println("... Files cleaned and saved."); + System.out.println("Ready for concatenation."); + System.out.println("\n========================\n"); + } + + + + /** + * Concatenates all XMLs in one folder or between two folders. + * @param sourceDir main directory with XML files. + * @param duplicDir second directory with duplicated XML files + * @param concatFile path name to saved concatenated corpus + */ + + public void concatenateXML(String sourceDir, String duplicDir, String concatFile){ + + final int BUFFER = 1024 << 8; + byte[] buffer = new byte[BUFFER]; + + //listing files on corpus dir + File srcDir = new File(sourceDir); + File[] srcXMLs = srcDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + File dupDir = new File(duplicDir); + File[] dupXMLs = dupDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name) { + return name.endsWith(".xml"); + } + }); + + System.out.println("... Files list loaded."); + + //defining the output file (concatenated) + File newCorpus = new File(concatFile); + + try{ + OutputStream output = new BufferedOutputStream(new FileOutputStream(newCorpus)); + + + //for each file on the corpus dir + for (File xmls : srcXMLs){ + InputStream input = new FileInputStream(xmls); + int count; + + //if the file is not empty/finished + try{ + while((count = input.read(buffer)) >= 0){ + + //write it on the concatenated final file + output.write(buffer, 0, count); + } + }finally{ + input.close(); + } + } + + if(dupXMLs != null){ + for(File xmld : dupXMLs){ + InputStream input = new FileInputStream(xmld); + int count; + + //if the file is not empty/finished + try{ + while((count = input.read(buffer)) >= 0){ + + //write it on the concatenated final file + output.write(buffer, 0, count); + } + }finally{ + input.close(); + } + } + } + output.flush(); + output.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println("... File concatenated and saved."); + System.out.println("Ready for corpus tagging."); + System.out.println("\n========================\n"); + } + + /** + * Inserts corpus tag on XML file + * + * @param pathToCorpus path to + * concatenated corpus + */ + + public void tagCorpus(String pathToCorpus){ + + //tagging as corpus + try{ + BufferedReader reader = new BufferedReader(new FileReader(pathToCorpus)); + + String line = null; + String edit = null; + List allLines = new ArrayList(); + + //adds tag at beggining of corpus + allLines.add(getCorpusTag()); + + while((line = reader.readLine()) != null){ + + allLines.add(line); + } + //adds tag at the end of corpus + allLines.add(getCorpusTagC()); + + System.out.println("... Corpus loaded and tagged."); + //re-writting the file + PrintWriter writer = new PrintWriter(pathToCorpus); + + for (String l : allLines){ + writer.println(l); + } + reader.close(); + writer.close(); + + System.out.println("... File saved as tagged corpus."); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(IOException e){ + e.printStackTrace(); + } + } + + private String getCorpusTagC() { + return corpusTagC; + } + + private String getCorpusTag() { + // TODO Auto-generated method stub + return corpusTag; + } + + public String getTag1() { + return tag1; + } + + public void setTag1(String tag1) { + this.tag1 = tag1; + } + + public String getTag2() { + return tag2; + } + + public void setTag2(String tag2) { + this.tag2 = tag2; + } + + private String getTag4() { + // TODO Auto-generated method stub + return tag4; + } + + private String getTag3() { + // TODO Auto-generated method stub + return tag3; + } + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + private void setCorpusTag(String string) { + this.corpusTag = string; + + } + + private void seTag4(String string) { + this.tag4 = string; + + } + + private void setTag3(String string) { + this.tag3 = string; + + } + +} + + diff --git a/src/preprocessing/CorpusHandler.java b/src/preprocessing/CorpusHandler.java new file mode 100644 index 0000000..94b5786 --- /dev/null +++ b/src/preprocessing/CorpusHandler.java @@ -0,0 +1,754 @@ +/* + * The MIT License (MIT) + +Copyright (c) 2014 + +Hayda Almeida +Marie-Jean Meurs + +Concordia University +Tsang Lab + + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + */ + + +package preprocessing; + +import java.io.BufferedOutputStream; +import java.io.BufferedReader; +import java.io.File; +import java.io.FileInputStream; +import java.io.FileNotFoundException; +import java.io.FileOutputStream; +import java.io.FileReader; +import java.io.FilenameFilter; +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import java.io.PrintWriter; +import java.nio.file.Files; +import java.nio.file.Path; +import java.nio.file.Paths; +import java.nio.file.StandardCopyOption; +import java.text.SimpleDateFormat; +import java.util.ArrayList; +import java.util.Collections; +import java.util.Comparator; +import java.util.Date; +import java.util.List; + +import org.jsoup.Jsoup; +import org.jsoup.nodes.Document; +import org.jsoup.nodes.Element; +import org.jsoup.select.Elements; + +import configure.ConfigConstants; + +/** + * Generates a corpus from raw XML doc instances, + * so that features can be extracted from it + * + * @author Hayda Almeida + * @since 2014 + * + */ +public class CorpusHandler{ + + private String tag1; + private String tag2; + private String tag3; + private String tag4; + private String id; + private String corpusTag; + private String corpusTagC; + + + public CorpusHandler(){ + + this.setId("PMID"); + this.setTag1("(?s)<.*?xml.*?>"); + this.setTag2("(?s)<.*?!DOCTYPE.*?>"); + this.setTag3("(?s)<.*?corpus.*?>"); + this.seTag4("(?s)<.*?/corpus.*?>"); + this.setCorpusTag(""); + this.setCorpusTag(""); + } + + + + public static void main(String[] args) throws Exception { + + ConfigConstants pathVars = new ConfigConstants(); + + String xmlDir = ""; + if(Integer.parseInt(pathVars.EXP_TYPE)== 1) + xmlDir = pathVars.TEST_DIR.substring(0, pathVars.TEST_DIR.length()-1); + else xmlDir = pathVars.TRAIN_DIR.substring(0, pathVars.TRAIN_DIR.length()-1) + "_" + pathVars.PERCT_POS_TRAIN; + + String sourceDir = "", duplicatesDir = ""; + + Boolean dc = false, df = false, cl = false, cc = false; + + String param = ""; + + try{ + param = args[0]; + + if(param.length() > 1){ + if(param.contains("dc")) + dc = true; + if(param.contains("df")) + df = true; + if(param.contains("cl")) + cl = true; + if(param.contains("cc")) + cc = true; + } + } + catch(Exception e){ + System.out.println("Use: \n" + + "-dc -> check duplicates in corpus vs. folder; \n " + + "-df -> check duplicates in two folders; \n" + + "-cl -> clean a source folder; \n" + + "-cc -> concatenate files in a folder "); + System.exit(0); + }; + + String timeStamp = new SimpleDateFormat("yyyyMMdd_hh:mm").format(new Date()); + String trainCorpusPath = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.TRAINING_FILE; + + sourceDir = pathVars.HOME_DIR + pathVars.CORPUS_DIR + xmlDir; + duplicatesDir = pathVars.HOME_DIR + pathVars.CORPUS_DIR + pathVars.DUP_DIR; + + String concatCorpus = pathVars.HOME_DIR + pathVars.CORPUS_DIR +"triagecorpus_"+ xmlDir +"_"+timeStamp+".xml"; + String tagCorpus = concatCorpus; + + CorpusHandler concat = new CorpusHandler(); + + //================= Checking for duplicates =====================// + // + //Check for duplicates between training file and a specific folder + if(dc) concat.checkDupCorpus(trainCorpusPath, sourceDir); + // + //---------------------------------------------------- + // + //Check for duplicates between two folders (duplicates found being sinalized in duplicatesDir) + if(df) concat.checkDupFolder(sourceDir, duplicatesDir); + // + //==================== Creating corpus ==========================// + // + //Removing XML tags from files + if(cl){ + concat.cleanXML(sourceDir, xmlDir); + if(duplicatesDir.length()>1 && (dc || df)) + concat.cleanXML(duplicatesDir, xmlDir); + } + // + //------------------------------------ + // + //Concatenating files from folders and outputting a corpus file + //Inserting tag in file + if(cc){ + concat.concatenateXML(sourceDir, "", concatCorpus, xmlDir); + concat.tagCorpus(tagCorpus, xmlDir); + } + // + //===============================================================// + } + + /** + * Returns the ID of a XML jsoup document + * @param doc a XML doc parsed by jsoup + * @return ID string + * @throws IOException + */ + public String returnID(Document doc) throws IOException{ + + String id = ""; + + Elements paper = doc.body().getElementsByTag("pubmedarticleset"); + + //fetching the paper ID - + //for all items in a paper, retrieve only PMIDs + for(Element e : paper.select(getId())){ + //only consider the ID if the parent is medline citation + if(e.parentNode().nodeName().contains("medline")){ + id = e.text(); + } + } + return id; + } + + /** + * Reads the file IDs in a folder and + * checks a second folder for duplicates. + * + * @param dirSrc source folder + * @param dirDup folder to check for duplicates + */ + + public void checkDupFolder(String dirSrc, String dirDup){ + ArrayList sourceIDs = new ArrayList(); + ArrayList duplicated = new ArrayList(); + ArrayList dupIDs = new ArrayList(); + int ids = 0; + + if(dirSrc.contentEquals(dirDup)){ + System.out.println("Source and duplicates directories are the same.\n\n========================\n"); + } + else { + + System.out.println("Source directory: "+ dirSrc + " \n"); + System.out.println("Duplicates directory: " + dirDup + " \n"); + + //Loading files in the source folder + File sourceDir = new File(dirSrc); + File[] srcXMLs = sourceDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the source dir + for (File xml : srcXMLs){ + + try{ + + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + sourceIDs.add(id); + ids++; + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println(ids + " source file IDs encountered."); + ids = 0; + + File dupDir = new File(dirDup); + + //Loading files in the duplicated folder + File[] dupXMLs = dupDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the possibly duplicated dir + for (File xml : dupXMLs){ + + try{ + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + dupIDs.add(id); + String dupFileID = id; + ids++; + + for(int j = 0; j < sourceIDs.size(); j++){ + if(sourceIDs.get(j).equalsIgnoreCase(dupFileID)){ + + //add ID to duplicated list + duplicated.add(dupFileID); + + //rename the original file + Path from = xml.toPath(); //convert from File to Path + Path to = Paths.get(xml.toPath()+".duplicated"); //convert from String to Path + Files.move(from, to, StandardCopyOption.REPLACE_EXISTING); + } + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + //count number of existing papers on possibly duplicated folder + //just to make sure we are gathering all IDs + System.out.println(ids + " new file IDs encountered."); + ids = 0; + //sorting the list of duplicated IDs + Collections.sort(duplicated, new Comparator(){ + @Override + public int compare(String one, String two){ + return one.compareTo(two); + } + }); + + System.out.println("\nReaded source files: " + sourceIDs.size()); + System.out.println("Readed new files: " + dupIDs.size()); + + System.out.println("\nDuplicated files renamed: " + duplicated.size()+"\n"); + + System.out.println("\nDuplicated files IDs: "); + for(int i = 0; i < duplicated.size(); i++){ + System.out.println(duplicated.get(i)); + } + + System.out.println("\n========================\n"); + } + + + } + + /** + * Reads the corpus and checks the papers IDs + * to identify duplicates in case new papers + * are being concatenated to corpus. + * + * @param corpus path to current corpora to check + * @param dir path to folder with new files to be concatenated + */ + + public void checkDupCorpus(String corpus, String dir){ + ArrayList trainingIDs = new ArrayList(); + ArrayList duplicated = new ArrayList(); + ArrayList newFiles = new ArrayList(); + + int ids = 0; + + try + { + System.out.println("Corpus directory: "+ corpus + " \n"); + System.out.println("Duplicates directory: " + dir + " \n"); + + File input = new File(corpus); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + Elements corp = doc.body().getElementsByTag("pubmedarticleset"); + + String id = ""; + + for(Element paper : corp){ + Document thisDoc = Jsoup.parseBodyFragment(paper.toString()); + + //fetching the document ID + id = returnID(thisDoc); + + if(!id.isEmpty()){ + trainingIDs.add(id); + ids++; + } + } + }catch (FileNotFoundException e) { + e.printStackTrace(); + } catch (IOException e) { + e.printStackTrace(); + } + + System.out.println(ids + " training file IDs encountered."); + ids = 0; + + File corpusDir = new File(dir); + File[] newXMLs = corpusDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + try{ + //for each file on the corpus dir + for (File xml : newXMLs){ + + try{ + String id = ""; + //Loading file + File input = new File(xml.getPath()); + //Jsoup parse + Document doc = Jsoup.parse(input, "UTF-8"); + + //fetching the document ID + id = returnID(doc); + + if(!id.isEmpty()){ + + newFiles.add(id); + String newFileID = id; + ids++; + + + for(int j = 0; j < trainingIDs.size(); j++){ + if(trainingIDs.get(j).equalsIgnoreCase(newFileID)){ + + //add ID to duplicated list + duplicated.add(newFileID); + + //moving the original file + Path from = xml.toPath(); //convert from File to Path + Path to = Paths.get(xml.toPath()+".duplicated"); //convert from String to Path + Files.move(from, to, StandardCopyOption.REPLACE_EXISTING); + } + } + } + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + //count number of existing papers on the training file + //just to make sure we are gathering all IDs + System.out.println(ids + " new file IDs encountered."); + ids = 0; + + + //sorting the list of duplicated IDs + Collections.sort(duplicated, new Comparator(){ + @Override + public int compare(String one, String two){ + return one.compareTo(two); + } + }); + + System.out.println("\nReaded training files: " + trainingIDs.size()); + System.out.println("Readed new files: " + newFiles.size()); + + System.out.println("\nDuplicated files renamed: " + duplicated.size()+"\n"); + + System.out.println("\nDuplicated files IDs: "); + for(int i = 0; i < duplicated.size(); i++){ + System.out.println(duplicated.get(i)); + } + + System.out.println("\n========================\n"); + + } + + + /** + * Reads and edits a list of XMLs files in a folder + * to remove XML and previous corpus tags, + * preparing the files to be concatenated. + * + * @param dir string with folder path + */ + + public void cleanXML(String dir, String xmlDir){ + + //listing files on corpus dir + File sourceDir = new File(dir); + + File[] newXMLs = sourceDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + System.out.println("... Files list loaded: "+ dir); + + try{ + //for each file on the corpus dir + for (File xml : newXMLs){ + + try{ + BufferedReader reader = new BufferedReader(new FileReader(xml.getPath())); + + String line = null; + ArrayList allLines = new ArrayList(); + String content = null; + + while((line = reader.readLine()) != null){ + content = line; + + //cleaning XML markups + content = content.replaceFirst(getTag1(), ""); + content = content.replaceFirst(getTag2(), ""); + //cleaning previous corpus tags + content = content.replaceFirst(getTag3(), ""); + content = content.replaceFirst(getTag4(), ""); + allLines.add(content); + } + + PrintWriter writer = new PrintWriter(xml.getPath()); + + for (String l : allLines){ + writer.println(l); + } + reader.close(); + writer.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + + } + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println("... Files cleaned and saved for " + xmlDir + "."); + System.out.println("Ready for concatenation."); + System.out.println("\n========================\n"); + + } + + + + /** + * Concatenates all XMLs in one folder or between two folders. + * @param sourceDir main directory with XML files. + * @param duplicDir second directory with duplicated XML files + * @param concatFile path name to saved concatenated corpus + */ + + public void concatenateXML(String sourceDir, String duplicDir, String concatFile, String xmlDir){ + + final int BUFFER = 1024 << 8; + byte[] buffer = new byte[BUFFER]; + + //listing files on corpus dir + File srcDir = new File(sourceDir); + File[] srcXMLs = srcDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + File dupDir = new File(duplicDir); + File[] dupXMLs = dupDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name) { + return name.endsWith(".xml"); + } + }); + + System.out.println("... Files list loaded: "+ xmlDir + "."); + + //defining the output file (concatenated) + File newCorpus = new File(concatFile); + + try{ + OutputStream output = new BufferedOutputStream(new FileOutputStream(newCorpus)); + + + //for each file on the corpus dir + for (File xmls : srcXMLs){ + InputStream input = new FileInputStream(xmls); + int count; + + //if the file is not empty/finished + try{ + while((count = input.read(buffer)) >= 0){ + + //write it on the concatenated final file + output.write(buffer, 0, count); + } + }finally{ + input.close(); + } + } + + if(dupXMLs != null){ + for(File xmld : dupXMLs){ + InputStream input = new FileInputStream(xmld); + int count; + + //if the file is not empty/finished + try{ + while((count = input.read(buffer)) >= 0){ + + //write it on the concatenated final file + output.write(buffer, 0, count); + } + }finally{ + input.close(); + } + } + } + output.flush(); + output.close(); + + }catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(Exception e){ + throw new RuntimeException(e); + } + + System.out.println("... File concatenated and saved for "+ xmlDir+ "."); + System.out.println("Ready for corpus tagging."); + System.out.println("\n========================\n"); + } + + /** + * Inserts corpus tag on XML file + * + * @param pathToCorpus path to + * concatenated corpus + */ + + public void tagCorpus(String pathToCorpus, String xmlDir){ + + //tagging as corpus + try{ + BufferedReader reader = new BufferedReader(new FileReader(pathToCorpus)); + + String line = null; + String edit = null; + List allLines = new ArrayList(); + + //adds tag at beggining of corpus + allLines.add(getCorpusTag()); + + while((line = reader.readLine()) != null){ + + allLines.add(line); + } + //adds tag at the end of corpus + allLines.add(getCorpusTagC()); + + System.out.println("... Corpus loaded and tagged."); + //re-writting the file + PrintWriter writer = new PrintWriter(pathToCorpus); + + for (String l : allLines){ + writer.println(l); + } + reader.close(); + writer.close(); + + System.out.println("... File saved as tagged " + xmlDir + " corpus."); + System.out.println("... DONE!"); + } + catch (FileNotFoundException e) { + e.printStackTrace(); + } + catch(IOException e){ + e.printStackTrace(); + } + } + + private String getCorpusTagC() { + return corpusTagC; + } + + private String getCorpusTag() { + // TODO Auto-generated method stub + return corpusTag; + } + + public String getTag1() { + return tag1; + } + + public void setTag1(String tag1) { + this.tag1 = tag1; + } + + public String getTag2() { + return tag2; + } + + public void setTag2(String tag2) { + this.tag2 = tag2; + } + + private String getTag4() { + // TODO Auto-generated method stub + return tag4; + } + + private String getTag3() { + // TODO Auto-generated method stub + return tag3; + } + + public String getId() { + return id; + } + + public void setId(String id) { + this.id = id; + } + + private void setCorpusTag(String string) { + this.corpusTag = string; + + } + + private void setCorpusTagC(String string) { + this.corpusTagC = string; + + } + + private void seTag4(String string) { + this.tag4 = string; + + } + + private void setTag3(String string) { + this.tag3 = string; + + } + +} + + diff --git a/src/preprocessing/SampleCorpus.java b/src/preprocessing/SampleCorpus.java new file mode 100644 index 0000000..bc65331 --- /dev/null +++ b/src/preprocessing/SampleCorpus.java @@ -0,0 +1,233 @@ +package preprocessing; + +import java.io.File; +import java.io.FilenameFilter; +import java.nio.file.Files; +import java.nio.file.StandardCopyOption; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.Collections; +import java.util.Iterator; +import java.util.LinkedList; +import java.util.List; + +import configure.ConfigConstants; + +/** + * Performs document instances sampling + * generating training and test files + * with specific balance input by user. + * + * @author Hayda Almeida + * @since 2015 + * + */ +public class SampleCorpus { + + public static void main(String[] args) throws Exception { + + ConfigConstants pathVars = new ConfigConstants(); + SampleCorpus sampling = new SampleCorpus(); + + String pathToLiteratureFolder = pathVars.HOME_DIR + pathVars.CORPUS_DIR; + + String positiveDir = pathToLiteratureFolder + pathVars.POS_DIR; + List positives = new LinkedList(); + + String negativeDir = pathToLiteratureFolder + pathVars.NEG_DIR; + List negatives = new LinkedList(); + + //train or test sampling + Boolean training = Boolean.valueOf(pathVars.SAMPLE_TRAIN); + Boolean testing = Boolean.valueOf(pathVars.SAMPLE_TEST); + + //% of test corpus WRT the collection, % positive on test set, % positive on training set + int percTs = Integer.parseInt(pathVars.PERCT_TEST); + int percPosTr = Integer.parseInt(pathVars.PERCT_POS_TRAIN); + int percPosTs = Integer.parseInt(pathVars.PERCT_POS_TEST); + + if(!(training || testing)){ + System.out.println("Training or Test sampling: not set up.\n" + + "Please define sampling params in file: \n" + + "@ config.cfg."); + System.exit(0); + } + + positives = sampling.loadFiles(positiveDir); + negatives = sampling.loadFiles(negativeDir); + + if(testing) sampling.sampleTest(pathToLiteratureFolder + pathVars.TEST_DIR, positives, negatives, percTs, percPosTs); + + if(training) sampling.sampleTrain(pathToLiteratureFolder + pathVars.TRAIN_DIR, positives, negatives, percPosTr); + + + } + + /** + * Lists XML files within a folder + * @param dirSrc folder path + * @return returns list of file IDs + */ + public List loadFiles(String dirSrc){ + + List fileIDs = new LinkedList(); + + File sourceDir = new File(dirSrc); + File[] srcXMLs = sourceDir.listFiles(new FilenameFilter(){ + @Override + public boolean accept(File dir, String name){ + return name.endsWith(".xml"); + } + }); + + fileIDs = new LinkedList(Arrays.asList(srcXMLs)); + + return fileIDs; + } + + /** + * Moves a specific number of files + * in a list from origin folder to a test folder + * @param pathVars + * @param files List of file IDs + * @param numFiles number of files to be moved + */ + public void moveFile(String path, List files, int numFiles){ + + Iterator filesList = files.iterator(); + File testDir = new File(path); + + if(!testDir.exists()){ + try{ + testDir.mkdir(); + }catch(Exception e){ + System.out.println("Error creating Test folder."); + System.exit(0); + } + } + + while(filesList.hasNext() && numFiles > 0){ + try{ + File file = (File) filesList.next(); + File newFile = new File(testDir + "/" + file.getName()); + + Files.move(file.toPath(), newFile.toPath(), StandardCopyOption.REPLACE_EXISTING); + + filesList.remove(); + numFiles--; + } + catch(Exception e){ + System.out.println("Error moving files."); + System.exit(0); + } + } + + } + + /** + * Copies a specific number of files + * in a list from origin folder to a train folder + * @param pathVars + * @param files List of file IDs + * @param numFiles number of files to be moved + */ + public void copyFile(String path, List files, int numFiles, int percPos){ + + Iterator filesList = files.iterator(); + String trainPath = path.substring(0, path.length()-1) + "_" + percPos + "/"; + File trainDir = new File(trainPath); + + if(!trainDir.exists()) + try{ + trainDir.mkdir(); + }catch(Exception e){ + System.out.println("Error creating Training folder."); + System.exit(0); + } + + while(filesList.hasNext() && numFiles > 0){ + try{ + File file = (File) filesList.next(); + File newFile = new File(trainDir + "/"+ file.getName()); + + Files.copy(file.toPath(), newFile.toPath(), StandardCopyOption.REPLACE_EXISTING); + } + catch(Exception e){ + System.out.println("Error copying files."); + System.exit(0); + } + } + + } + + /** + * Samples document instances from the collection + * to generate a test set. + * + * @param pathVars + * @param positives list of positive documents IDs + * @param negatives list of negative documents IDs + * @param total percentage of the document collection for test + * @param pos percentage of positive documents in the test set + */ + public void sampleTest(String path, List positives, List negatives, int total, int pos){ + + int instances = positives.size() + negatives.size(); + int testSize = (instances * total) / 100; + int posSize = (testSize * pos) / 100; + int negSize = testSize - posSize; + + Collections.shuffle(negatives); + System.out.println("===== Test > Negative instances shuffled for test set."); + moveFile(path, negatives, negSize); + System.out.println("===== Test > Negative instances moved to test folder. \n"); + + Collections.shuffle(positives); + System.out.println("===== Test > Positive instances shuffled for test set."); + moveFile(path, positives, posSize); + System.out.println("===== Test > Positive instances moved to test folder. \n"); + + } + + /** + * Samples document instances from the collection + * to generate a training set. + * + * @param pathVars + * @param positives list of positive documents IDs + * @param negatives list of negative documents IDs + * @param pos percentage of positive documents in the training set + */ + public void sampleTrain(String path, List positives, List negatives, int percPos){ + + int posSize = positives.size(); + int trainSize = (100 * posSize) / percPos; + + int negSize = trainSize - posSize; + + if(positives.size() < posSize){ + System.out.println("Not enough positive instances for training set."); + System.exit(0); + } + else if(negatives.size() < negSize){ + System.out.println("Not enough negative instances for training set."); + System.exit(0); + } + else{ + Collections.shuffle(negatives); + System.out.println("===== Training > Negative instances shuffled for training set."); + copyFile(path, negatives, negSize, percPos); + System.out.println("===== Training > Negative instances copied to training folder. \n"); + + Collections.shuffle(positives); + System.out.println("===== Training > Positive instances shuffled for training set."); + copyFile(path, positives, posSize, percPos); + System.out.println("===== Training > Positive instances copied to training folder. \n"); + } + + } + + + + +} diff --git a/usermanual/.gitignore b/usermanual/.gitignore new file mode 100644 index 0000000..5190f77 --- /dev/null +++ b/usermanual/.gitignore @@ -0,0 +1,12 @@ +# User manual files # +################### +*.aux +*.bbl +*.blg +*.log +*.out +*.backup +*.toc +*.*~ + + diff --git a/usermanual/Makefile b/usermanual/Makefile new file mode 100644 index 0000000..822e19f --- /dev/null +++ b/usermanual/Makefile @@ -0,0 +1,31 @@ +DOC=usermanual +BIB=usermanual +PDFLATEX=pdflatex +BIBTEX=bibtex +GRAPHICSIDR=graphics + +all: paper +#all: images paper + +paper: $(DOC).tex $(BIB).bib + $(PDFLATEX) $(DOC).tex + $(BIBTEX) $(DOC) + $(PDFLATEX) $(DOC).tex + $(PDFLATEX) $(DOC).tex + $(BIBTEX) $(DOC) + +#images: +# cd $(GRAPHICSIDR) && make + +check: + $(TEXIDATE) $(DOC).tex + +wc: + @echo "Paper has:" `pdftotext $(DOC).pdf - | wc -w 2> /dev/null` "words!" + +clean: + -rm $(DOC).log $(DOC).aux $(DOC).blg $(DOC).bbl $(DOC).dvi $(DOC).ps $(DOC).out $(DOC).toc $(DOC).lof $(DOC).lot +# cd $(GRAPHICSIDR) && make clean + +hyperclean: clean + -rm *~ *.backup diff --git a/usermanual/datetime.sty b/usermanual/datetime.sty new file mode 100644 index 0000000..cc6580a --- /dev/null +++ b/usermanual/datetime.sty @@ -0,0 +1,487 @@ +%% +%% This is file `datetime.sty', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% datetime.dtx (with options: `datetime') +%% Copyright (C) 2000 Nicola Talbot, all rights reserved. +%% If you modify this file, you must change its name first. +%% You are NOT ALLOWED to distribute this file alone. You are NOT +%% ALLOWED to take money for the distribution or use of either this +%% file or a changed version, except for a nominal charge for copying +%% etc. +%% \CharacterTable +%% {Upper-case \A\B\C\D\E\F\G\H\I\J\K\L\M\N\O\P\Q\R\S\T\U\V\W\X\Y\Z +%% Lower-case \a\b\c\d\e\f\g\h\i\j\k\l\m\n\o\p\q\r\s\t\u\v\w\x\y\z +%% Digits \0\1\2\3\4\5\6\7\8\9 +%% Exclamation \! Double quote \" Hash (number) \# +%% Dollar \$ Percent \% Ampersand \& +%% Acute accent \' Left paren \( Right paren \) +%% Asterisk \* Plus \+ Comma \, +%% Minus \- Point \. Solidus \/ +%% Colon \: Semicolon \; Less than \< +%% Equals \= Greater than \> Question mark \? +%% Commercial at \@ Left bracket \[ Backslash \\ +%% Right bracket \] Circumflex \^ Underscore \_ +%% Grave accent \` Left brace \{ Vertical bar \| +%% Right brace \} Tilde \~} +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{datetime}[2004/11/01 Date Time Package version 2.42] +\RequirePackage{fmtcount} +\newif\if@dt@nodate +\@dt@nodatefalse +\newif\ifshowdow % show the day of week if true + +\providecommand{\formatdate}[3]{} + +\newcount\@day +\newcount\@month +\newcount\@year + +\providecommand{\longdate}{% +\renewcommand{\formatdate}[3]{\ifshowdow\dayofweekname{##1}{##2}{##3} \fi +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@ordinal{\@day}\ \monthname[\@month], \the\@year}} + +\providecommand{\shortdate}{% +\renewcommand{\formatdate}[3]{\ifshowdow\shortdayofweekname{##1}{##2}{##3} \fi +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@ordinal{\@day}\ \shortmonthname[\@month], \the\@year}} + +\providecommand{\twodigit}[1]{{\@dtctr=#1\relax\ifnum\@dtctr<10 0\fi\the\@dtctr}} + +\providecommand{\ddmmyyyydate}{% +\renewcommand{\formatdate}[3]{\@day=##1\relax\@month=##2\relax\@year=##3\relax +\twodigit\@day/\twodigit\@month/\the\@year}} + +\providecommand{\dmyyyydate}{% +\renewcommand{\formatdate}[3]{\@day=##1\relax\@month=##2\relax\@year=##3\relax +\the\@day/\the\@month/\the\@year}} + +\providecommand{\ddmmyydate}{\renewcommand{\formatdate}[3]{% +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@dtctr=\@year% +\@modulo{\@dtctr}{100}% +\twodigit\@day/\twodigit\@month/\twodigit\@dtctr}} + +\providecommand{\dmyydate}{\renewcommand{\formatdate}[3]{% +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@dtctr=\@year% +\@modulo{\@dtctr}{100}% +\the\@day/\the\@month/\twodigit\@dtctr}} + +\providecommand{\textdate}{% +\renewcommand{\formatdate}[3]{\ifshowdow\dayofweekname{##1}{##2}{##3} the \fi +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@Ordinalstring\@day\ of \monthname[\@month], \@Numberstring\@year}} + +\providecommand{\usdate}{% +\renewcommand{\formatdate}[3]{\@day=##1\relax\@month=##2\relax\@year=##3\relax +\monthname[\@month]\ \the\@day, \the\@year}} + +\providecommand{\mmddyyyydate}{% +\renewcommand{\formatdate}[3]{\@day=##1\relax\@month=##2\relax\@year=##3\relax +\twodigit\@month/\twodigit\@day/\the\@year}} + +\providecommand{\mdyyyydate}{% +\renewcommand{\formatdate}[3]{\@day=##1\relax\@month=##2\relax\@year=##3\relax +\the\@month/\the\@day/\the\@year}} + +\providecommand{\mmddyydate}{\renewcommand{\formatdate}[3]{% +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@dtctr=\@year% +\@modulo{\@dtctr}{100}% +\twodigit\@month/\twodigit\@day/\twodigit\@dtctr}} + +\providecommand{\mdyydate}{\renewcommand{\formatdate}[3]{% +\@day=##1\relax\@month=##2\relax\@year=##3\relax +\@dtctr=\@year% +\@modulo{\@dtctr}{100}% +\the\@month/\the\@day/\twodigit\@dtctr}} + +\providecommand{\currenttime}{\xxivtime} + +\providecommand{\settimeformat}[1]{\def\currenttime{\csname#1\endcsname}} +\longdate\renewcommand{\fmtord}[1]{\textsuperscript{#1}}\showdowtrue +\InputIfFileExists{datetime.cfg}{\typeout{Loading local datetime configurations}}{\typeout{No datetime.cfg file found}} +\RequirePackage{fmtcount} +\DeclareOption{long}{\longdate} +\DeclareOption{short}{\shortdate} +\DeclareOption{ddmmyyyy}{\ddmmyyyydate} +\DeclareOption{dmyyyy}{\dmyyyydate} +\DeclareOption{ddmmyy}{\ddmmyydate} +\DeclareOption{dmyy}{\dmyydate} +\DeclareOption{text}{\textdate} +\DeclareOption{us}{\usdate} +\DeclareOption{mmddyyyy}{\mmddyyyydate} +\DeclareOption{mdyyyy}{\mdyyyydate} +\DeclareOption{mmddyy}{\mmddyydate} +\DeclareOption{mdyy}{\mdyydate} +\DeclareOption{level}{\renewcommand{\fmtord}[1]{#1}} +\DeclareOption{raise}{\renewcommand{\fmtord}[1]{\textsuperscript{#1}}} +\DeclareOption{dayofweek}{\showdowtrue} +\DeclareOption{nodayofweek}{\showdowfalse} +\DeclareOption{nodate}{\@dt@nodatetrue} +\DeclareOption{24hr}{\settimeformat{xxivtime}} +\DeclareOption{12hr}{\settimeformat{ampmtime}} +\DeclareOption{oclock}{\settimeformat{oclock}} + + +\DeclareOption{austrian}{\input{dt-austrian.def}} +\DeclareOption{bahasa}{\input{dt-bahasa.def}} +\DeclareOption{basque}{\input{dt-basque.def}} +\DeclareOption{breton}{\input{dt-breton.def}} +\DeclareOption{bulgarian}{\input{dt-bulgarian.def}} +\DeclareOption{catalan}{\input{dt-catalan.def}} +\DeclareOption{croatian}{\input{dt-croatian.def}} +\DeclareOption{czech}{\input{dt-czech.def}} +\DeclareOption{danish}{\input{dt-danish.def}} +\DeclareOption{dutch}{\input{dt-dutch.def}} +\DeclareOption{esperanto}{\input{dt-esperanto.def}} +\DeclareOption{estonian}{\input{dt-estonian.def}} +\DeclareOption{finnish}{\input{dt-finnish.def}} +\DeclareOption{french}{\input{dt-french.def}} +\DeclareOption{galician}{\input{dt-galician.def}} +\DeclareOption{german}{\input{dt-german.def}} +\DeclareOption{greek}{\input{dt-greek.def}} +\DeclareOption{hebrew}{\input{dt-hebrew.def}} +\DeclareOption{icelandic}{\input{dt-icelandic.def}} +\DeclareOption{irish}{\input{dt-irish.def}} +\DeclareOption{italian}{\input{dt-italian.def}} +\DeclareOption{latin}{\input{dt-latin.def}} +\DeclareOption{lsorbian}{\input{dt-lsorbian.def}} +\DeclareOption{magyar}{\input{dt-magyar.def}} +\DeclareOption{naustrian}{\input{dt-naustrian.def}} +\DeclareOption{ngerman}{\input{dt-ngerman.def}} +\DeclareOption{norsk}{\input{dt-norsk.def}} +\DeclareOption{polish}{\input{dt-polish.def}} +\DeclareOption{portuges}{\input{dt-portuges.def}} +\DeclareOption{romanian}{\input{dt-romanian.def}} +\DeclareOption{russian}{\input{dt-russian.def}} +\DeclareOption{samin}{\input{dt-samin.def}} +\DeclareOption{scottish}{\input{dt-scottish.def}} +\DeclareOption{serbian}{\input{dt-serbian.def}} +\DeclareOption{slovak}{\input{dt-slovak.def}} +\DeclareOption{slovene}{\input{dt-slovene.def}} +\DeclareOption{spanish}{\input{dt-spanish.def}} +\DeclareOption{swedish}{\input{dt-swedish.def}} +\DeclareOption{turkish}{\input{dt-turkish.def}} +\DeclareOption{ukraineb}{\input{dt-ukraineb.def}} +\DeclareOption{usorbian}{\input{dt-usorbian.def}} +\DeclareOption{welsh}{\input{dt-welsh.def}} + +\ProcessOptions +\RequirePackage{ifthen} +\if@dt@nodate +\typeout{datetime package message : option "nodate" used, so not defining \protect\monthname} +\else +\providecommand{\monthnameenglish}[1][\month]{% +\@orgargctr=#1\relax +\ifcase\@orgargctr +\PackageError{datetime}{Invalid Month number \the\@orgargctr}{Month numbers should go from 1 (January) to 12 (December)}% +\or January% +\or February% +\or March% +\or April% +\or May% +\or June% +\or July% +\or August% +\or September% +\or October% +\or November% +\or December% +\else \PackageError{datetime}{Invalid Month number \the\@orgargctr}{Month numbers should go from 1 (January) to 12 (December)}% +\fi} + +\let\monthname=\monthnameenglish +\fi +\if@dt@nodate +\typeout{datetime package message : option "nodate" used, so not defining \protect\shortmonthname} +\else +\providecommand{\shortmonthnameenglish}[1][\month]{% +\@orgargctr=#1\relax +\ifcase\@orgargctr +\PackageError{datetime}{Invalid Month number \the\@orgargctr}{Month numbers should go from 1 (jan) to 12 (dec)}% +\or Jan% +\or Feb% +\or Mar% +\or Apr% +\or May% +\or Jun% +\or Jul% +\or Aug% +\or Sept% +\or Oct% +\or Nov% +\or Dec% +\else% +\PackageError{datetime}{Invalid Month number \the\@orgargctr}{Month numbers should go from 1 (jan) to 12 (dec)}% +\fi} + +\let\shortmonthname=\shortmonthnameenglish + +\fi +\newif\ifleapyear + +\newcount\@dtctr + +\if@dt@nodate +\typeout{datetime package message : option "nodate" used, so not defining \protect\dayofweek \space or \protect\shortdayofweek} +\else + +\providecommand{\testifleapyear}[1]{% +\leapyearfalse +\@year=#1\relax +\@dtctr=\@year +\@modulo{\@dtctr}{400}% +\ifnum\@dtctr=0\relax +\leapyeartrue % year mod 400 = 0 => leap year +\else +\@dtctr=\@year +\@modulo{\@dtctr}{100}% +\ifnum\@dtctr=0\relax +\leapyearfalse % year mod 100 = 0 && year mod 400 != 0 => not a leap year +\else +\@dtctr=\@year +\@modulo{\@dtctr}{4}% +\ifnum\@dtctr=0\relax +\leapyeartrue % year mod 4 = 0 && year mod 100 != 0 => leap year +\fi +\fi +\fi +} + +\newcount\dayofyear + + +\providecommand{\computedayofyear}[3]{% +\testifleapyear{#3}% +\dayofyear=0\relax +\@day=#1\relax \@month=#2\relax \@year=#3\relax +\ifcase\@month +\or +\or \advance\dayofyear by 31\relax +\or \advance\dayofyear by 59\relax +\or \advance\dayofyear by 90\relax +\or \advance\dayofyear by 120\relax +\or \advance\dayofyear by 151\relax +\or \advance\dayofyear by 181\relax +\or \advance\dayofyear by 212\relax +\or \advance\dayofyear by 243\relax +\or \advance\dayofyear by 273\relax +\or \advance\dayofyear by 304\relax +\or \advance\dayofyear by 334\relax +\else +\PackageError{datetime}{Invalid month number}{The second argument to \protect\computedayofyear +should lie in the range 1-12} +\fi +\ifnum\@month>2\relax +\ifleapyear\advance\dayofyear by 1\relax\fi +\fi +\advance\dayofyear by \@day\relax +} + +\newcount\dayofweek + + +\providecommand{\computedayofweek}[3]{% +\computedayofyear{#1}{#2}{#3}% +\@dtctr=#3\relax +\advance\@dtctr by -1901\relax +\@modulo{\@dtctr}{28}% +\dayofweek=\@dtctr +\divide\dayofweek by 4\relax +\advance\dayofweek by \@dtctr +\advance\dayofweek by 2\relax +\@modulo{\dayofweek}{7}% +\advance\dayofweek by \dayofyear +\advance\dayofweek by -1\relax +\@modulo{\dayofweek}{7}% +\advance\dayofweek by 1\relax} + +\providecommand{\dayofweekname}[3]{% +\computedayofweek{#1}{#2}{#3}% +\ifcase\dayofweek +\or Sunday% +\or Monday% +\or Tuesday% +\or Wednesday% +\or Thursday% +\or Friday% +\or Saturday% +\fi} + +\providecommand{\shortdayofweekname}[3]{% +\computedayofweek{#1}{#2}{#3}% +\ifcase\dayofweek +\or Sun% +\or Mon% +\or Tue% +\or Wed% +\or Thu% +\or Fri% +\or Sat% +\fi} +\fi +\if@dt@nodate +\else +\def\today{\formatdate{\day}{\month}{\year}} +\fi +\if@dt@nodate +\else +\@ifundefined{dateenglish}{}{\let\dateenglish\longdate} +\@ifundefined{dateaustrian}{}{\input{dt-austrian.def}} +\@ifundefined{datebahasa}{}{\input{dt-bahasa.def}} +\@ifundefined{datebasque}{}{\input{dt-basque.def}} +\@ifundefined{datebreton}{}{\input{dt-breton.def}} +\@ifundefined{datebulgarian}{}{\input{dt-bulgarian.def}} +\@ifundefined{datecatalan}{}{\input{dt-catalan.def}} +\@ifundefined{datecroatian}{}{\input{dt-croatian.def}} +\@ifundefined{dateczech}{}{\input{dt-czech.def}} +\@ifundefined{datedanish}{}{\input{dt-danish.def}} +\@ifundefined{datedutch}{}{\input{dt-dutch.def}} +\@ifundefined{dateesperanto}{}{\input{dt-esperanto.def}} +\@ifundefined{dateestonian}{}{\input{dt-estonian.def}} +\@ifundefined{datefinnish}{}{\input{dt-finnish.def}} +\@ifundefined{datefrench}{}{\input{dt-french.def}} +\@ifundefined{dategalician}{}{\input{dt-galician.def}} +\@ifundefined{dategerman}{}{\input{dt-german.def}} +\@ifundefined{dategreek}{}{\input{dt-greek.def}} +\@ifundefined{datehebrew}{}{\input{dt-hebrew.def}} +\@ifundefined{dateicelandic}{}{\input{dt-icelandic.def}} +\@ifundefined{dateirish}{}{\input{dt-irish.def}} +\@ifundefined{dateitalian}{}{\input{dt-italian.def}} +\@ifundefined{datelatin}{}{\input{dt-latin.def}} +\@ifundefined{datelsorbian}{}{\input{dt-lsorbian.def}} +\@ifundefined{datemagyar}{}{\input{dt-magyar.def}} +\@ifundefined{datenaustrian}{}{\input{dt-naustrian.def}} +\@ifundefined{datengerman}{}{\input{dt-ngerman.def}} +\@ifundefined{datenorsk}{}{\input{dt-norsk.def}} +\@ifundefined{datepolish}{}{\input{dt-polish.def}} +\@ifundefined{dateportuges}{}{\input{dt-portuges.def}} +\@ifundefined{dateromanian}{}{\input{dt-romanian.def}} +\@ifundefined{daterussian}{}{\input{dt-russian.def}} +\@ifundefined{datesamin}{}{\input{dt-samin.def}} +\@ifundefined{datescottish}{}{\input{dt-scottish.def}} +\@ifundefined{dateserbian}{}{\input{dt-serbian.def}} +\@ifundefined{dateslovak}{}{\input{dt-slovak.def}} +\@ifundefined{dateslovene}{}{\input{dt-slovene.def}} +\@ifundefined{datespanish}{}{\input{dt-spanish.def}} +\@ifundefined{dateswedish}{}{\input{dt-swedish.def}} +\@ifundefined{dateturkish}{}{\input{dt-turkish.def}} +\@ifundefined{dateukraineb}{}{\input{dt-ukraineb.def}} +\@ifundefined{dateusorbian}{}{\input{dt-usorbian.def}} +\@ifundefined{datewelsh}{}{\input{dt-welsh.def}} +\fi +\if@dt@nodate +\typeout{datetime package message : option "nodate" used, so not defining \protect\newdateformat} +\else + +\providecommand\THEDAY{\the\@day} +\providecommand\THEMONTH{\the\@month} +\providecommand\THEYEAR{\the\@year} +\let\c@DAY=\@day +\let\c@MONTH=\@month +\let\c@YEAR=\@year + +\providecommand{\dateformat}[4]{\@day=#2\relax\@month=#3\relax\@year=#4\relax#1} + +\providecommand{\newdateformat}[2]{% +\@ifundefined{#1}{\expandafter\def\csname#1\endcsname{\renewcommand{\formatdate}{\dateformat{#2}}}}{% +\PackageError{datetime}{Can't create new date format, command \textbackslash#1 already defined}{You will need to +give you new date format a different name}}} +\fi + +\newcount\c@HOUR +\newcount\c@HOURXII +\newcount\c@MINUTE +\newcount\c@TOHOUR +\newcount\c@TOMINUTE +\def\THEHOUR{\the\c@HOUR} +\def\THEHOURXII{\the\c@HOURXII} +\def\THEMINUTE{\the\c@MINUTE} +\def\THETOHOUR{\the\c@TOHOUR} +\def\THETOMINUTE{\the\c@TOMINUTE} + +\providecommand{\newtimeformat}[2]{% +\@ifundefined{#1}{% +\expandafter\def\csname#1\endcsname{% +\c@HOUR=\time% +\divide\c@HOUR by 60\relax +\c@HOURXII=\c@HOUR +\ifnum\c@HOURXII>12 +\advance\c@HOURXII by -12\relax +\fi +\c@MINUTE=\time% +\@modulo{\c@MINUTE}{60}% +\c@TOHOUR=\c@HOURXII +\advance\c@TOHOUR by 1\relax +\@modulo{\c@TOHOUR}{12}% +\c@TOMINUTE=\c@MINUTE +\advance\c@TOMINUTE by -60\relax +\multiply\c@TOMINUTE by -1\relax +#2 +}}{% +\PackageError{datetime}{Command \textbackslash#1 already defined}{% +You can't create a new time format called "#1" as the command \textbackslash#1 already exists}}} +\newtimeformat{xxivtime}{\twodigit\THEHOUR:\twodigit\THEMINUTE} + +\newtimeformat{ampmtime}{\THEHOURXII:\twodigit\THEMINUTE\ifthenelse{\value{HOUR}<12}{\amname}{\ifthenelse{\time=720}{ \noon}{\pmname}}} + +\newtimeformat{oclock}{\ifthenelse{\time=0 \or \time=720}{% +\ifthenelse{\time=0}{\midnight}{\noon}}{% +\ifthenelse{\value{MINUTE}=0}{% +\Numberstring{HOUR} \oclock}{% +\ifthenelse{\value{MINUTE}=15}{% +\quarterpast\ \Numberstring{HOUR}}{% +\ifthenelse{\value{MINUTE}=30}{% +\halfpast\ \Numberstring{HOUR}}{% +\ifthenelse{\value{MINUTE}=45}{% +\quarterto\ \Numberstring{TOHOUR}}{% +\ifthenelse{\value{MINUTE}<30}{% +\Numberstring{MINUTE} \ifthenelse{\value{MINUTE}=1}{minute}{minutes} past \Numberstring{HOURXII}}{% +\Numberstring{TOMINUTE} \ifthenelse{\value{TOMINUTE}=1}{minute}{minutes} to \Numberstring{TOHOUR}}}}}} +\ifthenelse{\value{HOUR}<12}{% +\amstring}{% +\pmstring}}} + +\providecommand{\amname}{am} +\providecommand{\pmname}{pm} +\providecommand{\amstring}{in the morning} +\providecommand{\pmstring}{in the afternoon} +\providecommand{\halfpast}{Half past} +\providecommand{\quarterpast}{Quarter past} +\providecommand{\quarterto}{Quarter to} +\providecommand{\noon}{Noon} +\providecommand{\midnight}{Midnight} +\providecommand{\oclockstring}{O'Clock} + +\newcount\pdftimectr +\newcount\pdfdatectr + +\pdftimectr=0\relax +\@dtctr=\time% +\divide\@dtctr by 60\relax +\multiply\@dtctr by 10000\relax +\pdftimectr=\@dtctr +\@dtctr=\time% +\@modulo{\@dtctr}{60}% +\multiply\@dtctr by 100\relax +\advance\pdftimectr by \@dtctr +\pdfdatectr=\day +\@dtctr=\month +\multiply\@dtctr by 100\relax +\advance\pdfdatectr by \@dtctr +\@dtctr=\year +\multiply\@dtctr by 10000\relax +\advance\pdfdatectr by \@dtctr +\ifnum\pdftimectr<100000 +\edef\pdfdate{\the\pdfdatectr0\the\pdftimectr} +\else +\edef\pdfdate{\the\pdfdatectr\the\pdftimectr} +\fi +\endinput +%% +%% End of file `datetime.sty'. diff --git a/usermanual/fmtcount.sty b/usermanual/fmtcount.sty new file mode 100644 index 0000000..304bacb --- /dev/null +++ b/usermanual/fmtcount.sty @@ -0,0 +1,587 @@ +%% +%% This is file `fmtcount.sty', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% datetime.dtx (with options: `fmtcount') +%% Copyright (C) 2000 Nicola Talbot, all rights reserved. +%% If you modify this file, you must change its name first. +%% You are NOT ALLOWED to distribute this file alone. You are NOT +%% ALLOWED to take money for the distribution or use of either this +%% file or a changed version, except for a nominal charge for copying +%% etc. +%% \CharacterTable +%% {Upper-case \A\B\C\D\E\F\G\H\I\J\K\L\M\N\O\P\Q\R\S\T\U\V\W\X\Y\Z +%% Lower-case \a\b\c\d\e\f\g\h\i\j\k\l\m\n\o\p\q\r\s\t\u\v\w\x\y\z +%% Digits \0\1\2\3\4\5\6\7\8\9 +%% Exclamation \! Double quote \" Hash (number) \# +%% Dollar \$ Percent \% Ampersand \& +%% Acute accent \' Left paren \( Right paren \) +%% Asterisk \* Plus \+ Comma \, +%% Minus \- Point \. Solidus \/ +%% Colon \: Semicolon \; Less than \< +%% Equals \= Greater than \> Question mark \? +%% Commercial at \@ Left bracket \[ Backslash \\ +%% Right bracket \] Circumflex \^ Underscore \_ +%% Grave accent \` Left brace \{ Vertical bar \| +%% Right brace \} Tilde \~} +\NeedsTeXFormat{LaTeX2e} +\ProvidesPackage{fmtcount}[2004/10/22 v1.0] +\RequirePackage{ifthen} +\newcount\@DT@modctr +\def\@modulo#1#2{% +\@DT@modctr=#1\relax +\divide \@DT@modctr by #2\relax +\multiply \@DT@modctr by #2\relax +\advance #1 by -\@DT@modctr} +\providecommand{\fmtord}[1]{#1} +\newcount\@ordinalctr +\newcount\@orgargctr +\def\@ordinal#1{% +\@orgargctr=#1\relax +\@ordinalctr=#1% +\@modulo{\@ordinalctr}{100}% +\ifnum\@ordinalctr=11 +\the\@orgargctr\fmtord{th}% +\else +\ifnum\@ordinalctr=12 +\the\@orgargctr\fmtord{th}% +\else +\ifnum\@ordinalctr=13 +\the\@orgargctr\fmtord{th}% +\else +\@modulo{\@ordinalctr}{10}% +\ifcase\@ordinalctr +\the\@orgargctr\fmtord{th}% case 0 +\or \the\@orgargctr\fmtord{st}% case 1 +\or \the\@orgargctr\fmtord{nd}% case 2 +\or \the\@orgargctr\fmtord{rd}% case 3 +\else +\the\@orgargctr\fmtord{th}% default case +\fi +\fi +\fi +\fi +} +\newcommand{\@@unitstring}[1]{% +\ifcase#1\relax +zero% +\or one% +\or two% +\or three% +\or four% +\or five% +\or six% +\or seven% +\or eight% +\or nine% +\fi +} + +\newcommand{\@@tenstring}[1]{% +\ifcase#1\relax +\or ten% +\or twenty% +\or thirty% +\or fourty% +\or fifty% +\or sixty% +\or seventy% +\or eighty% +\or ninety% +\fi +} + +\newcommand{\@@teenstring}[1]{% +\ifcase#1\relax +ten% +\or eleven% +\or twelve% +\or thirteen% +\or fourteen% +\or fifteen% +\or sixteen% +\or seventeen% +\or eighteen% +\or nineteen% +\fi +} + +\newcommand{\@@Unitstring}[1]{% +\ifcase#1\relax +Zero% +\or One% +\or Two% +\or Three% +\or Four% +\or Five% +\or Six% +\or Seven% +\or Eight% +\or Nine% +\fi +} + +\newcommand{\@@Tenstring}[1]{% +\ifcase#1\relax +\or Ten% +\or Twenty% +\or Thirty% +\or Fourty% +\or Fifty% +\or Sixty% +\or Seventy% +\or Eighty% +\or Ninety% +\fi +} + +\newcommand{\@@Teenstring}[1]{% +\ifcase#1\relax +Ten% +\or Eleven% +\or Twelve% +\or Thirteen% +\or Fourteen% +\or Fifteen% +\or Sixteen% +\or Seventeen% +\or Eighteen% +\or Nineteen% +\fi +} + +\newcount\strctr +\newcommand{\@@numberstring}[1]{% +\ifnum#1>99000 +\PackageError{fmtcount}{Out of range}% +{This macro only works for values less than 100000}% +\else +\ifnum#1<0 +\PackageError{fmtcount}{Negative numbers not permitted}% +{This macro does not work for negative numbers, however +you can try typing "minus" first, and then pass the modulus of +this number}% +\fi +\fi +\strctr=#1\relax \divide\strctr by 1000\relax +\ifnum\strctr>9 +\divide\strctr by 10 +\ifnum\strctr>1 +\@tenstring{\strctr}% +\strctr=#1 \divide\strctr by 10000 +\ifnum\strctr>0 -\@unitstring{\strctr}\fi +\else +\strctr=#1 \divide\strctr by 1000 +\@teenstring{\strctr}% +\fi +\ \@thousand% +\else +\ifnum\strctr>0 \@unitstring{\strctr}\ \@thousand\fi +\fi +\strctr=#1\relax \@modulo{\strctr}{1000}% +\divide\strctr by 100 +\ifnum\strctr>0 +\ifnum#1>1000 \ \fi\@unitstring{\strctr}\ \@hundred% +\fi +\strctr=#1\relax \@modulo{\strctr}{100}% +\ifnum#1>100 \ifnum\strctr>0 \ and \fi\fi +\ifnum\strctr>19 +\divide\strctr by 10 +\@tenstring{\strctr}% +\strctr=#1\relax \@modulo{\strctr}{10}% +\ifnum\strctr>0 +-\@unitstring{\strctr}% +\fi +\else +\ifnum\strctr<10 +\ifnum\strctr=0 +\ifnum#1<100 \@unitstring{\strctr}\fi +\else +\@unitstring{\strctr}% +\fi +\else +\@modulo{\strctr}{10}% +\@teenstring{\strctr}% +\fi +\fi +} + +\newcommand{\@numberstring}[1]{% +\let\@unitstring=\@@unitstring \let\@teenstring=\@@teenstring \let\@tenstring=\@@tenstring +\def\@hundred{hundred}\def\@thousand{thousand}% +\@@numberstring{#1}} + +\newcommand{\@Numberstring}[1]{% +\let\@unitstring=\@@Unitstring \let\@teenstring=\@@Teenstring \let\@tenstring=\@@Tenstring +\def\@hundred{Hundred}\def\@thousand{Thousand}% +\@@numberstring{#1}} +\newcommand{\@@unitthstring}[1]{% +\ifcase#1\relax +zeroth% +\or first% +\or second% +\or third% +\or fourth% +\or fifth% +\or sixth% +\or seventh% +\or eighth% +\or nineth% +\fi +} + +\newcommand{\@@tenthstring}[1]{% +\ifcase#1\relax +\or tenth% +\or twentieth% +\or thirtieth% +\or fourtieth% +\or fiftieth% +\or sixtieth% +\or seventieth% +\or eightieth% +\or ninetieth% +\fi +} + +\newcommand{\@@teenthstring}[1]{% +\ifcase#1\relax +tenth% +\or eleventh% +\or twelfth% +\or thirteenth% +\or fourteenth% +\or fifteenth% +\or sixteenth% +\or seventeenth% +\or eighteenth% +\or nineteenth% +\fi +} + +\newcommand{\@@Unitthstring}[1]{% +\ifcase#1\relax +Zeroth% +\or First% +\or Second% +\or Third% +\or Fourth% +\or Fifth% +\or Sixth% +\or Seventh% +\or Eighth% +\or Nineth% +\fi +} + +\newcommand{\@@Tenthstring}[1]{% +\ifcase#1\relax +\or Tenth% +\or Twentieth% +\or Thirtieth% +\or Fourtieth% +\or Fiftieth% +\or Sixtieth% +\or Seventieth% +\or Eightieth% +\or Ninetieth% +\fi +} + +\newcommand{\@@Teenthstring}[1]{% +\ifcase#1\relax +Tenth% +\or Eleventh% +\or Twelfth% +\or Thirteenth% +\or Fourteenth% +\or Fifteenth% +\or Sixteenth% +\or Seventeenth% +\or Eighteenth% +\or Nineteenth% +\fi +} + +\newcommand{\@@ordinalstring}[1]{% +\ifnum#1>99000 +\PackageError{fmtcount}{Out of range}% +{This macro only works for values less than 100000}% +\else +\ifnum#1<0 +\PackageError{fmtcount}{Negative numbers not permitted}% +{This macro does not work for negative numbers, however +you can try typing "minus" first, and then pass the modulus of +this number}% +\fi +\fi +\strctr=#1\relax \divide\strctr by 1000\relax +\ifnum\strctr>9 +\divide\strctr by 10 +\ifnum\strctr>1 +\@tenstring{\strctr}% +\strctr=#1 \divide\strctr by 10000 +\ifnum\strctr>0 -\@unitstring{\strctr}\fi +\else +\strctr=#1 \divide\strctr by 1000 +\@teenstring{\strctr}% +\fi +\strctr=#1\relax \@modulo{\strctr}{1000}% +\ifnum\strctr=0\ \@thousandth\else\ \@thousand \fi +\else +\ifnum\strctr>0\relax +\@unitstring{\strctr}% +\strctr=#1\relax \@modulo{\strctr}{1000}% +\ifnum\strctr=0\ \@thousandth\else\ \@thousand\fi +\fi +\fi +\strctr=#1\relax \@modulo{\strctr}{1000}% +\divide\strctr by 100 +\ifnum\strctr>0 +\ifnum#1>1000 \ \fi\@unitstring{\strctr}% +\strctr=#1\relax \@modulo{\strctr}{100}% +\ifnum\strctr=0\ \@hundredth\else\ \@hundred\fi +\fi +\strctr=#1\relax \@modulo{\strctr}{100}% +\ifnum#1>100 \ifnum\strctr>0\ and \fi\fi +\ifnum\strctr>19 +\@dtctr=\strctr +\divide\strctr by 10 +\@modulo{\@dtctr}{10}% +\ifnum\@dtctr=0 \@tenthstring{\strctr}\else \@tenstring{\strctr}\fi +\strctr=#1\relax \@modulo{\strctr}{10}% +\ifnum\strctr>0 +-\@unitthstring{\strctr}% +\fi +\else +\ifnum\strctr<10 +\ifnum\strctr=0 +\ifnum#1<100 \@unitthstring{\strctr}\fi +\else +\@unitthstring{\strctr}% +\fi +\else +\@modulo{\strctr}{10}% +\@teenthstring{\strctr}% +\fi +\fi +} + +\newcommand{\@ordinalstring}[1]{% +\let\@unitthstring=\@@unitthstring \let\@teenthstring=\@@teenthstring \let\@tenthstring=\@@tenthstring +\let\@unitstring=\@@unitstring \let\@teenstring=\@@teenstring \let\@tenstring=\@@tenstring +\def\@hundred{hundred}\def\@thousand{thousand}% +\def\@hundredth{hundredth}\def\@thousandth{thousandth}% +\@@ordinalstring{#1}} + +\newcommand{\@Ordinalstring}[1]{% +\let\@unitthstring=\@@Unitthstring \let\@teenthstring=\@@Teenthstring \let\@tenthstring=\@@Tenthstring +\let\@unitstring=\@@Unitstring \let\@teenstring=\@@Teenstring \let\@tenstring=\@@Tenstring +\def\@hundred{Hundred}\def\@thousand{Thousand}% +\def\@hundredth{Hundredth}\def\@thousandth{Thousandth}% +\@@ordinalstring{#1}} +\newcount\c@padzeroesN +\c@padzeroesN=1\relax +\providecommand{\padzeroes}[1][17]{\c@padzeroesN=#1} + +\newif\if@DT@padzeroes +\newcount\@DT@loopN +\newcount\@DT@X +\newcommand{\@binary}[1]{% +\@DT@padzeroestrue +\@DT@loopN=17\relax +\strctr=65536\relax +\@DT@X=#1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=0\) \and \(\@DT@loopN>\c@padzeroesN\)}{}{\the\@DT@modctr}% +\ifnum\@DT@modctr=0\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 2\relax +\advance\@DT@loopN by -1\relax +\ifnum\strctr>1 +\repeat +\the\@DT@X} +\newcommand{\@octal}[1]{% +\ifnum#1>32768 +\PackageError{fmtcount}{Value of counter too large for \protect\@octal}{Maximum value 32768} +\else +\@DT@padzeroestrue +\@DT@loopN=6\relax +\strctr=32768\relax +\@DT@X=#1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=0\) \and \(\@DT@loopN>\c@padzeroesN\)}{}{\the\@DT@modctr}% +\ifnum\@DT@modctr=0\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 8\relax +\advance\@DT@loopN by -1\relax +\ifnum\strctr>1 +\repeat +\the\@DT@X +\fi} +\newcommand{\@@hexadecimal}[1]{\ifcase#10\or1\or2\or3\or4\or5\or6\or7\or8\or9\or a\or b\or c\or d\or e\or f\fi} + +\newcommand{\@hexadecimal}[1]{% +\@DT@padzeroestrue +\@DT@loopN=5\relax +\strctr=65536\relax +\@DT@X=#1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=0\) \and \(\@DT@loopN>\c@padzeroesN\)}{}{\@@hexadecimal\@DT@modctr}% +\ifnum\@DT@modctr=0\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 16\relax +\advance\@DT@loopN by -1\relax +\ifnum\strctr>1 +\repeat +\@@hexadecimal\@DT@X} + +\newcommand{\@@Hexadecimal}[1]{\ifcase#10\or1\or2\or3\or4\or5\or6\or7\or8\or9\or A\or B\or C\or D\or E\or F\fi} + +\newcommand{\@Hexadecimal}[1]{% +\@DT@padzeroestrue +\@DT@loopN=5\relax +\strctr=65536\relax +\@DT@X=#1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=0\) \and \(\@DT@loopN>\c@padzeroesN\)}{}{\@@Hexadecimal\@DT@modctr}% +\ifnum\@DT@modctr=0\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 16\relax +\advance\@DT@loopN by -1\relax +\ifnum\strctr>1 +\repeat +\@@Hexadecimal\@DT@X} + +\newcommand{\@aaalph}[1]{% +\@DT@loopN=#1\relax +\advance\@DT@loopN by -1\relax +\divide\@DT@loopN by 26\relax +\@DT@modctr=\@DT@loopN +\multiply\@DT@modctr by 26\relax +\@DT@X=#1\relax +\advance\@DT@X by -1\relax +\advance\@DT@X by -\@DT@modctr +\advance\@DT@loopN by 1\relax +\advance\@DT@X by 1\relax +\loop +\@alph\@DT@X +\advance\@DT@loopN by -1\relax +\ifnum\@DT@loopN>0 +\repeat +} + +\newcommand{\@AAAlph}[1]{% +\@DT@loopN=#1\relax +\advance\@DT@loopN by -1\relax +\divide\@DT@loopN by 26\relax +\@DT@modctr=\@DT@loopN +\multiply\@DT@modctr by 26\relax +\@DT@X=#1\relax +\advance\@DT@X by -1\relax +\advance\@DT@X by -\@DT@modctr +\advance\@DT@loopN by 1\relax +\advance\@DT@X by 1\relax +\loop +\@Alph\@DT@X +\advance\@DT@loopN by -1\relax +\ifnum\@DT@loopN>0 +\repeat +} + +\newcommand{\@abalph}[1]{% +\ifnum#1>17576 +\PackageError{fmtcount}{Value of counter too large for \protect\@abalph}{Maximum value 17576} +\else +\@DT@padzeroestrue +\strctr=17576\relax +\@DT@X=#1\relax +\advance\@DT@X by -1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=1\)}{}{\@alph\@DT@modctr}% +\ifnum\@DT@modctr=1\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 26\relax +\ifnum\strctr>1 +\repeat +\advance\@DT@X by 1\relax +\@alph\@DT@X +\fi} + +\newcommand{\@ABAlph}[1]{% +\ifnum#1>17576 +\PackageError{fmtcount}{Value of counter too large for \protect\@ABAlph}{Maximum value 17576} +\else +\@DT@padzeroestrue +\strctr=17576\relax +\@DT@X=#1\relax +\advance\@DT@X by -1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=1\)}{}{\@Alph\@DT@modctr}% +\ifnum\@DT@modctr=1\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 26\relax +\ifnum\strctr>1 +\repeat +\advance\@DT@X by 1\relax +\@Alph\@DT@X +\fi} + +\newcommand{\@decimal}[1]{% +\ifnum#1>10000 +\PackageError{fmtcount}{Value of counter too large for \protect\@decimal}{Maximum value 10000} +\else +\@DT@padzeroestrue +\@DT@loopN=6\relax +\strctr=10000\relax +\@DT@X=#1\relax +\loop +\@DT@modctr=\@DT@X +\divide\@DT@modctr by \strctr +\ifthenelse{\boolean{@DT@padzeroes} \and \(\@DT@modctr=0\) \and \(\@DT@loopN>\c@padzeroesN\)}{}{\the\@DT@modctr}% +\ifnum\@DT@modctr=0\else\@DT@padzeroesfalse\fi +\multiply\@DT@modctr by \strctr +\advance\@DT@X by -\@DT@modctr +\divide\strctr by 10\relax +\advance\@DT@loopN by -1\relax +\ifnum\strctr>1 +\repeat +\the\@DT@X +\fi} +\providecommand{\ordinal}[1]{\expandafter\protect\expandafter\@ordinal{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\ordinalstring}[1]{\expandafter\protect\expandafter\@ordinalstring{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\Ordinalstring}[1]{\expandafter\protect\expandafter\@Ordinalstring{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\numberstring}[1]{\expandafter\protect\expandafter\@numberstring{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\Numberstring}[1]{\expandafter\protect\expandafter\@Numberstring{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\binary}[1]{\expandafter\protect\expandafter\@binary{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\aaalph}[1]{\expandafter\protect\expandafter\@aaalph{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\AAAlph}[1]{\expandafter\protect\expandafter\@AAAlph{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\abalph}[1]{\expandafter\protect\expandafter\@abalph{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\ABAlph}[1]{\expandafter\protect\expandafter\@ABAlph{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\hexadecimal}[1]{\expandafter\protect\expandafter\@hexadecimal{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\Hexadecimal}[1]{\expandafter\protect\expandafter\@Hexadecimal{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\octal}[1]{\expandafter\protect\expandafter\@octal{\expandafter\the\csname c@#1\endcsname}} +\providecommand{\decimal}[1]{\expandafter\protect\expandafter\@decimal{\expandafter\the\csname c@#1\endcsname}} +\endinput +%% +%% End of file `fmtcount.sty'. diff --git a/usermanual/graphics/Makefile b/usermanual/graphics/Makefile new file mode 100644 index 0000000..d34f02e --- /dev/null +++ b/usermanual/graphics/Makefile @@ -0,0 +1 @@ +all: diff --git a/usermanual/graphics/concordialogo.png b/usermanual/graphics/concordialogo.png new file mode 100644 index 0000000000000000000000000000000000000000..8019bd17784a832e80b73280f5f29222fbe75398 GIT binary patch literal 14639 zcmX9_19T=$vyN@s#>Td7+qP}nwyig|H`&;BHnzFR&G+A$b7rPz`b?uRT~$vi? 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HcmV?d00001 diff --git a/usermanual/usefulsymbols.sty b/usermanual/usefulsymbols.sty new file mode 100644 index 0000000..68d50b2 --- /dev/null +++ b/usermanual/usefulsymbols.sty @@ -0,0 +1,55 @@ +% packages +\usepackage{float} % for algorithm float +\usepackage{graphicx} % for figures, plots, etc +\graphicspath{{./data/}} % '' +\usepackage{amssymb} % special math fonts +\usepackage{amsmath} +\usepackage{epsf,amsfonts,amsmath,amssymb} % defaults +\usepackage{url} +% for footnotes in the author fields +%\newcommand{\footnoteremember}[2]{ +% \footnote{#2} +% \newcounter{#1} +% \setcounter{#1}{\value{footnote}} +%} +%\newcommand{\footnoterecall}[1]{ +% \footnotemark[\value{#1}] +%} +\usepackage[usenames]{color} % for colour +\newcommand{\blue}{\color{blue}} % " +% math +\renewcommand{\vec}{\mathbf} +\newcommand{\mat}[1]{\boldsymbol#1} +\newcommand{\s}{\vec{s}} +\newcommand{\w}{\vec{w}} +\newcommand{\x}{\vec{x}} +\newcommand{\xtest}{\vec{\tilde{x}}} +\newcommand{\y}{\vec{y}} +\newcommand{\z}{\vec{z}} +\renewcommand{\a}{\vec{a}} +\renewcommand{\b}{\vec{b}} +\renewcommand{\c}{\vec{c}} +\renewcommand{\o}{\vec{o}} +\newcommand{\p}{\vec{p}} +\newcommand{\argmax}{\operatornamewithlimits{argmax}} +\newcommand{\R}{\mathbb{R}} +\newcommand{\N}{\mathbb{N}} +\newcommand{\X}{\mathcal{X}} +\newcommand{\Y}{\mathcal{Y}} +\renewcommand{\L}{\mathcal{L}} +\newcommand{\tup}[1]{\langle#1\rangle} +% refs +\newcommand{\code}[1]{Algorithm~\ref{#1}} +\newcommand{\Fig}[1]{Figure~\ref{#1}} +\newcommand{\tab}[1]{Table~\ref{#1}} +\newcommand{\Sec}[1]{Section~\ref{#1}} +% custom float +\floatstyle{ruled} +\newfloat{algorithm}{thp}{lop} +\floatname{algorithm}{Algorithm} +% special definitions +\newcommand{\keyword}[1]{{\it #1}} +\newcommand{\framework}[1]{{\sc #1}} +% ref styles +% text +\newcommand{\ie}{i.e., } diff --git a/usermanual/usermanual.bib b/usermanual/usermanual.bib new file mode 100644 index 0000000..8141f6d --- /dev/null +++ b/usermanual/usermanual.bib @@ -0,0 +1,349 @@ 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z0JC`q1XC4^E}?hBy|)4w*TaMIh^xB+#>F>)K{TUf0OgT`^^*X@A3&vKpg7^J4YyZg zZ3vfJtW2S|$@c2u7ZSmdGx$_^CCu0!~3UUKJxDp@-~uh2M|!k`Sd7eWemhGHXU=6%rkUxnNy)BsueNOkzphCmTzK%oFA}~F0R~*ax1+D~2~9~%1vp3;|6j1s zvu#LFU{Ijw41(G+Kns%E2Ly;>u*1+p3`mJXq#%FczaQx>`1^Zhpl@QpGZ#Ru<}kdP LH4Ev~-s}GW9*Nw- literal 0 HcmV?d00001 diff --git a/usermanual/usermanual.tex b/usermanual/usermanual.tex new file mode 100644 index 0000000..2d7ab9b --- /dev/null +++ b/usermanual/usermanual.tex @@ -0,0 +1,600 @@ +\documentclass[11pt]{article} +\usepackage[margin=1.1in]{geometry} +\usepackage{usefulsymbols} +\usepackage{hyperref} +\newcommand{\mycos}{{\bf{mycoSORT{ }}}} +\newcommand{\homefolder}{\texttt{mycosort-pck-\version{ }}} +\newcommand{\configfile}{\texttt{config.cfg{ }}} +\newcommand{\configsample}{\texttt{config-sample.cfg{ }}} + +\def\version{{\tt 1.0}} +\usepackage{listings} +\usepackage{courier} +\lstset{basicstyle=\small\ttfamily,breaklines=true,frame=L,xleftmargin=\parindent} +%\lstset{framextopmargin=50pt,frame=bottomline} +%\lstset{breaklines=true} +%\lstset{breakatwhitespace=true} + +% if you just need a simple heading +% Usage: +% \heading{the text of the heading} +\newcommand{\heading}[1]{ + \vspace{0.3cm} \noindent \textbf{#1} \newline +} + +\usepackage{datetime} +\newdateformat{mydate}{\monthname[\THEMONTH] \THEYEAR} + + +\graphicspath{{./graphics/}} + +\begin{document} + +\title{\mycos{} ~ \version \\~\\~\\User Manual\\~\\} + +\author{Hayda Almeida\\Marie-Jean Meurs\\~\\~\\Tsang Lab} + +\date{\mydate\today} + +\maketitle + +\begin{center} + \includegraphics[width=0.2\textwidth]{genomicslogogreen}$\qquad$\includegraphics[width=0.2\textwidth]{genozymeslogo}$\qquad$\includegraphics[width=0.25\textwidth]{concordialogo}\\ +\end{center} + +\pagestyle{empty} + +\pagebreak +\tableofcontents + +% \pagestyle{empty} +\pagebreak + +\section{Introduction to mycoSORT} + +\mycos{} is an open source text classification software program written in Java. +The software is based on data sampling and machine learning methods. +\mycos{} was primarily developed to perform text classification of scientific literature related to fungal enzymes. +However, it can also execute classification of literature related to different topics. +This tool can be applied to support scientific researchers in the selection of relevant documents when performing literature review. + +\mycos{} utilizes a labeled document collection to learn from, +and generate a classification model through supervised learning, +which will be used to predict a label for new scientific papers. +In order to obtain a classification prediction for a given document, +\mycos{} must first train or load a classification model. + +To generate the classification models, \mycos{} makes use of the standard implementation +of classification algorithms provided by the Weka workbench~\cite{hall2009weka}, +which is also developed in Java. +In addition, \mycos{} utilizes the following packages: +% commons-lang3-3.2.1 +% jsoup-1.7.3 +\begin{itemize} + \item Apache Commons Lang\footnote{\url{https://commons.apache.org}}(version 3.2.1 or above), a Java utility package; + \item jsoup\footnote{\url{http://jsoup.org/}}(version 1.7.3 or above), a Java HTML/XML parser; + \item LIBSVM\footnote{\url{http://www.csie.ntu.edu.tw/~cjlin/libsvm/}}(version 3.2 or above), a wrapper library for the SVM classifier; + \item Apache Ant\footnote{\url{http://ant.apache.org/}}(version 1.9.3 or above), a Java library used to build Java applications. +\end{itemize} + +In the following sections, you will find instructions on how to +have access to the system source code, install, and run the software tool. +\mycos{} toolkit is available at \url{https://github.com/TsangLab/mycosort}. +This user manual describes \mycos{} version {\version}. + +\section{Getting Started} +\label{sec:start} +To download \mycos{} toolkit, please access \url{https://github.com/TsangLab/mycosort}. +This user manual is written for version \version; +and assumes that you have downloaded and extracted the \homefolder{} as a folder, +and that this folder is currently in your working directory. + +\subsection{Package Content} +\label{subsec:pckcontent} +\mycos{} toolkit contains several folders and files in its root folder. +These items are used to provide inputs and keep outpus for the system subtasks. +Their usage and content are further explained here. + +\paragraph{Folders list} +\textit{\texttt{arff} $\rightarrow$} contains the .ARFF files representing the data as vector matrices. These files are used to generate the classification models. \\ +\textit{\texttt{corpus} $\rightarrow$} keeps the training and test sets in .XML format, used to build and apply the classification models. \\ +\textit{\texttt{executables} $\rightarrow$} holds the .JAR files that compose the system and are used to perform the system tasks. \\ +\textit{\texttt{features} $\rightarrow$} contains the features extracted from the training sets, saved in .TXT format. \\ +\textit{\texttt{jars} $\rightarrow$} contains the external .JAR packages which are bundled with the system.\\ +\textit{\texttt{src} $\rightarrow$} holds the system .JAVA source files. + +\paragraph{Files list} +\textit{\texttt{build.xml} $\rightarrow$} master file used by Apache Ant to build \mycos{} executables. \\ +\textit{\configsample $\rightarrow$} a sample of the configuration file used to set specific parameters for the system different tasks. \\ +\textit{\texttt{entities.txt} $\rightarrow$} a list of bioentities that are found annotated in the dataset. \\ +\textit{\texttt{stopList.txt} $\rightarrow$} a list of stop-words to be considered for feature extraction. + +\subsection{Requirements} +\mycos{} requires Java JDK (version 1.8.0 or above) and Apache Ant (version 1.9.3 or above) to be installed.\\ +For further information on how to install Java JDK, please refer to: \\ \url{http://www.oracle.com/technetwork/java/javase/downloads/index.html}. \\ +For information on how to install Apache Ant, please refer to: \\ \url{http://ant.apache.org/manual/install.html}. + +% \section{Dataset Format} +% \label{sec:format} +% +% \mycos{} uses the following file formats in its processing: +% \begin{itemize} +% \item XML - eXtensible Markup Language - dataset format containing annotated papers +% \item TXT - Text File - \mycos{} features extraction format +% \item ARFF - Attribute-Relation File Format\footnote{\url{http://cs.waikato.ac.nz/~ml/weka/arff}} - instance and features list format +% \end{itemize} + +\section{Configuration Setup} +\label{sec:configuration} +The general working environment and configurations of \mycos{} are defined in a file named \configfile{}. +To generate a \configfile{} file, create a copy of \configsample{} and rename it to \configfile{}. +Before compiling and running \mycos{}, it is required to edit the \configfile{} file. + +\subsection{Directory Setting} +\label{directory} +To set up the main directory for using \mycos{}, firstly update the \texttt{HOME\_DIR} directory for your own desired folder, as in the following example. +The \texttt{HOME\_DIR} should contain the path of the system main folder, where the \mycos{} toolkit was extracted. +\begin{lstlisting} +HOME_DIR=/home/usr/mycosort-pck-version/ +\end{lstlisting} + +The following directories are set by default, and generally should not be changed, +since they refer to folder paths inside of your \texttt{HOME\_DIR}. +The corpus directory contains the dataset .XML files, as well as the training and testing files. +\begin{lstlisting} +CORPUS_DIR=corpus/ +\end{lstlisting} + +The positive and negative folders contain the positive and negative .XML instances, and are found inside of \texttt{CORPUS\_DIR}. +\begin{lstlisting} +POS_DIR=positives/ +NEG_DIR=negatives/ +\end{lstlisting} + +The train and test folders will contain the train and test .XML instances, and are found inside of \texttt{CORPUS\_DIR}. +\begin{lstlisting} +TRAIN_DIR=train/ +TEST_DIR=test/ +\end{lstlisting} + +The arff directory contains the .ARFF files, used to feed the classification algorithms. +\begin{lstlisting} +OUTPUT_MODEL=arff/ +\end{lstlisting} + +The feature directory contains the .TXT files listing all feature types extracted from the training sets. +\begin{lstlisting} +FEATURE_DIR=features/ +\end{lstlisting} + +The duplicates directory is a directory in which the user wants to look for duplicates. +Its value should be edited to fit the folder name, which should be placed inside of \texttt{CORPUS\_DIR}. +\begin{lstlisting} +DUP_DIR=test/ +\end{lstlisting} + +\subsection{Corpus Sampling Setting} +\label{subsec:corpussamp} +Data sampling can be used to split the document collection into training and test collections, +as well as to generate several training collections with different class distributions. +To enable the training or test sampling, set the following variables to true: +\begin{lstlisting} +SAMPLE_TRAIN=false +SAMPLE_TEST=false +\end{lstlisting} +The following variables will control the data sampling settings. +To determine the size of the test set with regards to the entire document collection, use \texttt{PERCT\_TEST} to set the percentage of the test collection. +\begin{lstlisting} +PERCT_TEST=15 +\end{lstlisting} +To generate a training collection, first define the percentage of positive instances to be sampled for this corpus. +This variable is also used when generating .ARFF files. +\begin{lstlisting} +PERCT_POS_TRAIN=50 +\end{lstlisting} +To generate a test collection, first determine its the percentage of positive instances. +\begin{lstlisting} +PERCT_POS_TEST=10 +\end{lstlisting} + +\subsection{File Setting} +\label{subsec:fileset} +We describe here the files used as input for \mycos{}. +The \texttt{TRAINING\_FILE} and \texttt{TEST\_FILE} should contain the name of the XML files generated as training and test sets. +The training file is used by the extractors to extract features, and to build the .ARFF files. +\begin{lstlisting} +TRAINING_FILE=triage0.xml +TEST_FILE=triage1.xml +\end{lstlisting} + +The .ARFF files are used to feed the classification models. +When wanting to re-train a model, \texttt{ARFF\_TRAIN} should contain the .ARFF file name used for training. +When wanting to test new instances, \texttt{ARFF\_TEST} should contain the .ARFF file name used for testing. +\begin{lstlisting} +ARFF_TRAIN=triage0.arff +ARFF_TEST=triage1.arff +\end{lstlisting} + +The stopwords list used by the extractors is defined here. +We recommend to keep this variable as it is defined in the \configsample. +\begin{lstlisting} +STOP_LIST=stopList.txt +\end{lstlisting} + +When executing subtasks, \mycos{} produces the following files as output, +which are later on used as input for new subtasks. +These files contain the features extracted from a given training set. +\begin{lstlisting} +ECNUM_FEATURES=ecnumbers.txt +JOURNAL_TITLE_FEATURES=journaltitles.txt +ANNOTATION_FEATURES=annotations.txt +TITLE_FEATURES=titleAnnotations.txt +NGRAM_FEATURES=ngrams_features.txt +TITLE_NGRAMS=titleGrams.txt +DOC_IDS=docIDs.txt +\end{lstlisting} + +\subsection{Feature Setting} +\label{subsec:featureset} +The feature configuration is taken into account when generating .ARFF files. +In order to choose a feature type to be used when creating an .ARFF file, simply set its value to ``true'', as the examples below. \\ +\paragraph{General features} +More than one feature can be combined when generating .ARFF files. +The following variables will load general features: the size of a paper abstract, +the name of the publication journal, and the EC numbers found in a paper. +\begin{lstlisting} +USE_TEXT_SIZE=true +USE_JOURNAL_TITLE_FEATURE=true +USE_ECNUM_FEATURE=true +\end{lstlisting} + +The \texttt{USE\_DOC\_ID} variable extracts the paper PMID. +This variable must be maintained with its value set to ``true'', +since it is needed to output the classification predictions according to the document ID. +\begin{lstlisting} +USE_DOC_ID=true +\end{lstlisting} + +The following variables set specific conditions for feature frequency (number of times it was found in the training set) +and feature lenght (number of characters in a feature) to be taking into account when extracting the feature list. +The default parameters are defined below, but they can be adjusted according to the user needs. +\begin{lstlisting} +FEATURE_MIN_FREQ=2 +FEATURE_MIN_LENGTH=3 +\end{lstlisting} + +\paragraph{Annotation features} +The following variables will provide annotation features to generate .ARFF files. +To load the bioentity annotations extracted from the training set, the value of \texttt{USE\_ANNOTATION\_FEATURE} must be set to true. +When setting \texttt{USE\_ANNOTATION\_TYPE} to true, the bioentity types will be loaded to generate .ARFFs. +Finally, when setting \texttt{USE\_TITLE\_FEATURE} to true, the bioentities annotated in paper titles will be +considered separately from the annotations found in abstracts. +\begin{lstlisting} +USE_ANNOTATION_FEATURE=true +USE_ANNOTATION_TYPE=true +USE_TITLE_FEATURE=true +\end{lstlisting} + +\paragraph{N-Gram features} +The following variables will provide n-gram features to generate .ARFF files. +To load the n-grams extracted from the training set, the value of \texttt{USE\_NGRAM\_FEATURE} must be set to true. +When setting \texttt{USE\_TITLE\_NGRAMS} to true, the n-grams found in paper titles will be +considered separately from the n-grams found in abstracts. +Use \texttt{NGRAM\_STOP} to remove stopwords from the feature list. +\begin{lstlisting} +USE_NGRAM_FEATURE=true +USE_TITLE_NGRAMS=false +NGRAM_STOP=true +\end{lstlisting} +The variable \texttt{NGRAM\_SIZE} determines the number of words used to +form n-grams. The default value is 1, however the system is also capable of generating +bigrams (\texttt{NGRAM\_SIZE=2}) and trigrams (\texttt{NGRAM\_SIZE=3}). +\begin{lstlisting} +NGRAM_SIZE=1 +\end{lstlisting} + +To apply a weight in a n-gram, set the following variable to true and +determine the value of the weight. +This configuration will simply multiply the current n-gram frequency by the value provided in \texttt{WEIGHT}. +\begin{lstlisting} +USE_WEIGHTED_NGRAM=false +WEIGHT=3 +\end{lstlisting} + +\subsection{Feature Selection Setting} +\label{subsec:featselec} +The feature selection configuration is taken into account before feeding .ARFF files to the classification algorithms. +To enable Odds Ratio (OR) or IDF filtering, just set one of the following variables to true: +\begin{lstlisting} +USE_ODDS_RATIO=true +USE_IDF=false +\end{lstlisting} +It is recommended to apply Odds Ratio or IDF, but not both together. +To determine the minimum threshold considered to keep a feature, adjust the following variables (default is set to 1): +\begin{lstlisting} +OR_THRESHOLD=1 +IDF_THRESHOLD=1 +\end{lstlisting} + +\subsection{Experiment} +The experiment type is used to generate .XML and .ARFF files. +To generate training files, set \texttt{EXP\_TYPE=0}, and to generate test files, set \texttt{EXP\_TYPE=1}. +\begin{lstlisting} +EXP_TYPE=0 +\end{lstlisting} + +% +% \subsubsection{N-Grams} +% \label{ngrams} +% To determine the size of N-Grams features, please set the number of \texttt{NGRAM\_SIZE} variable on the file to \texttt{1}, \texttt{2} or \texttt{3}. +% In order to have a single relation of all the N-Grams from both paper abstract and title, the features should be configured as the following: +% \begin{lstlisting} +% USE_NGRAM_FEATURE=true +% USE_TITLE_NGRAMS=false +% \end{lstlisting} +% If you require the title N-Grams as separated features from the abstract N-Grams, please define its value also as \texttt{true}. +% +% Yet, if you require that N-Grams from the paper abstract should not be considered and only the title text must be taken into account, use the following configuration: +% \begin{lstlisting} +% USE_NGRAM_FEATURE=false +% USE_TITLE_NGRAMS=true +% \end{lstlisting} +% +% \subsubsection{Annotations} +% \label{annotations} +% The same configuration set for abstract and title is valid for the annotations. To have a single relation from both paper abstract and title, use: +% \begin{lstlisting} +% USE_ANNOTATION_FEATURE=true +% USE_TITLE_FEATURE=false +% \end{lstlisting} +% If separated lists of annotation features from abstract and title are needed, please define both values as \texttt{true}. +% +% However, if you wish to have only the annotations found on the paper title, but not on the paper abstract, just apply the variables value as the following: +% \begin{lstlisting} +% USE_ANNOTATION_FEATURE=false +% USE_TITLE_FEATURE=true +% \end{lstlisting} + + +\section{Using \mycos{}} +\mycos{} can be used from a command line interface. +The system utilizes Apache Ant to build the five different modules (.JAR files), +which are available in the \texttt{executables} folder. +To execute \mycos{} modules, it is necessary to access the system home folder. +In a command line interface (a terminal in Linux OS, or a prompt in Microsoft Windows), +navigate until the \homefolder{} folder, such as: + +\begin{lstlisting} + user@machine $ cd /home/usr/mycosort-pck-version +\end{lstlisting} + +On a Microsoft Windows system, the forward slashes should be replaced by back slashes +(e.g. \texttt{home\textbackslash usr\textbackslash ...}). +From now on, the instructions will assume that a Linux OS is being used. + +\paragraph{Compiling} +After accessing the system home folder, it is necessary to first compile \mycos{} modules. +To do so, simply type \texttt{"ant"} in the command line, as the example below: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +\end{lstlisting} +The system should be re-compiled if any parameter is changed or edited in the \configfile file. +Following we describe the usage and configuration for each of the five \mycos{} modules: +\begin{itemize} +\item SampleCorpus +\item CorpusHandler +\item FeatureExtractor +\item NgramExtractor +\item BuildModel +\item Trainer +\end{itemize} + + +\subsection{SampleCorpus} +The \texttt{SampleCorpus} module allows the user to generate training and test collections. +It utilizes all .XML documents contained in the \texttt{corpus/positive} and \texttt{corpus/negative} folders. +\paragraph{Example 1} +When generating the test collection, the .XML instances randomly selected will be moved +from the \texttt{corpus/positive} and \texttt{corpus/negative} folders to the +\texttt{corpus/test} folder. +To execute the test sampling and generate a test collection that represents +15\% of the entire document collection, and that contains 10\% of positive instances, +edit the following variables in the \configfile: +\begin{lstlisting} +SAMPLE_TEST=true +PERCT_TEST=15 +PERCT_POS_TEST=10 +\end{lstlisting} + +\paragraph{Example 2} +When generating the training collection, the .XML instances randomly selected will be +copied from \texttt{corpus/positive} and \texttt{corpus/negative} folders to the +\texttt{corpus/train\_ (PERCT\_POS\_TRAIN)} folder. +To execute the training sampling and generate a trainng collection that contains +50\% of negative instances and 50\% of positive instances, +edit the following variables in the \configfile: +\begin{lstlisting} +SAMPLE_TRAIN=true +PERCT_POS_TRAIN=50 +\end{lstlisting} + +To execute \texttt{SampleCorpus}, run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant sample-corpus +\end{lstlisting} +After running the instruction, the selected sampling (training or test) will be executed. +The training collection will then be copied to a \texttt{corpus/train\_50} folder. +The training collection can be generated multiple times, with different class distributions. + +\subsection{CorpusHandler} +The \texttt{CorpusHandler} module is used to create the training and test corpus, +by generating a combined .XML file containing all .XML instances either in the +\texttt{corpus/test} folder or in the \texttt{corpus/train\_(PERCT\_POS\_TRAIN)} folder. +\paragraph{Example 3} +Besides generating the training and test corpora, this module can also perform a check for duplicates. +To check for duplicates between an existing training file +and a given \texttt{DUP\_DIR} folder containing several .XML files, +edit the following variables in the \configfile file: +\begin{lstlisting} +TRAINING_FILE=triage0.xml +DUP_DIR=test/ +\end{lstlisting} +To execute \texttt{CorpusHandler} and check for duplicates between training file and a given folder, +run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant -Doptions=df corpus-handler +\end{lstlisting} +\paragraph{Example 4} +To check for duplicates between the train or test folders containing all .XMLs and +a given \texttt{DUP\_DIR} folder containing other several .XML files, +edit the following variables in the \configfile file: +\begin{lstlisting} +DUP_DIR=test/ +EXP_TYPE=0 +\end{lstlisting} +In this case, \texttt{EXP\_TYPE=0} if the train .XMLs must be considered, +or \texttt{EXP\_TYPE=1} if the test .XMLs must be considered. +To execute \texttt{CorpusHandler} and check for duplicates between training file and a given folder, +run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant -Doptions=dc corpus-handler +\end{lstlisting} +When checking for duplicates, the duplicates found will by default renamed only in the \texttt{DUP\_DIR} folder. \\ + +\paragraph{Example 5} +To generate a training corpus, the following variables must be edited in the \configfile file: +\begin{lstlisting} +PERCT_POS_TRAIN=50 +EXP_TYPE=0 +\end{lstlisting} +To generate a testing corpus, edit the following variables: +\begin{lstlisting} +PERCT_POS_TEST=10 +EXP_TYPE=1 +\end{lstlisting} +In order to generate the corpora, it is first required to clean (\texttt{-Doptions=cl}), +and only then concatenate (\texttt{-Doptions=cc}) all .XMLs in a given folder. +Thus, when creating the training or test corpora, +run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant -Doptions=cl,cc corpus-handler +\end{lstlisting} + +\subsection{NgramExtractor} +The \texttt{NgramExtractor} is a feature extraction module, used to extract n-grams +(small units of text) from the paper article title and abstract. +N-grams can be generated in three different sizes: unigrams (one word), bigrams (two words), and trigrams (three words). +The default ngram size is one word, since this extraction already results in long list of features. +It is also recommended to discard stopwords when extracting n-grams, +and this can be set by keeping the value of \texttt{NGRAM\_STOP} as \texttt{true}. +\paragraph{Example 6} +To perform the ngram extraction, the following variables must be edited in the \configfile file: +\begin{lstlisting} +TRAINING_FILE=triage0.xml +NGRAM_STOP=true +NGRAM_SIZE=1 +FEATURE_MIN_FREQ=2 +FEATURE_MIN_LENGTH=3 +\end{lstlisting} +To execute \texttt{NgramExtractor} run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant ngram-extractor +\end{lstlisting} + +\subsection{FeatureExtractor} +The \texttt{FeatureExtractor} is a feature extraction module, used to extract domain annotations +(specific XML tags) from the paper article title and abstract. +To specify the list of annotations (tags) to be considered in the \texttt{FeatureExtractor} module, +please refer to the \texttt{entities.txt} file in the root of \homefolder folder. +In order to consider new annotation type (tag) beside the ones provided in the file, +simply add a new line containing the annotation type name and its level (sentence or entity). +Should a given type not be considered, simply add a \# at the beggining of the specific line. + +\paragraph{Example 7} +To perform the feature extraction, the following variables must be edited in the \configfile file: +\begin{lstlisting} +TRAINING_FILE=triage0.xml +FEATURE_MIN_FREQ=2 +FEATURE_MIN_LENGTH=3 +\end{lstlisting} +To execute \texttt{FeatureExtractor} run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant feature-extractor +\end{lstlisting} + + +\subsection{BuildModel} +The \texttt{BuildModel} is the module used to represent the training and test sets as +matrix of document vectors, that will be later fed to a classification algorithm. +Models are saved in the .ARFF file format, and can be generated with several different configurations of features. +All generated models are saved in the \texttt{arff} folder. + +\paragraph{Example 8} +To determine the feature configuration used in a given model, +the chosen options, as described in~\ref{subsec:featureset}, +must be set to \texttt{true} in the \configfile file. +As an example, if the user wants to generate a model based only in unigram features, +the setup of n-gram features must be set to true, as described in~\ref{subsec:featureset}, +while the annotation features setup must be set to false. + +In addition, the following variables must also be edited, +to indicate if the model should be generated based on the training set or the test set, +as well as to indicate which percentage of positives was currently considered in the training set. +\begin{lstlisting} +PERCT_POS_TRAIN=50 +EXP_TYPE=1 +\end{lstlisting} + +To execute \texttt{BuildModel}, run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant build-model +\end{lstlisting} + +\subsection{Trainer} +The \texttt{Trainer} module processes the training .ARFF files and utilizes a classification algorithm to +generalize a function, and output predictions for instances in the test .ARFF files. +The corresponding training and test .ARFF files must be indicated +in the \configfile file before executing the \texttt{Trainer} module. +In order to specify the correct files, please refer to these two items: +\begin{lstlisting} +ARFF_TRAIN=triage0.arff +ARFF_TEST=triage1.arff +\end{lstlisting} + +While training and testing the models, feature selection methods can also be set up. +To perform IDF or Odds Ratio filtering, please refer to the items described in~\ref{subsec:featselec}. +It is recommended to perform one of the filterings at once, either IDF or Odds Ratio, +as opposed to both at the same execution. + +\paragraph{Example 9} +A model can be trained using three different classification algorithms: +{Na\"{\i}ve} Bayes (\texttt{-Dclassifier=nb}), Support Vector Machine (\texttt{-Dclassifier=svm}), or Logistic Model Tree (\texttt{-Dclassifier=lmt}). + +To execute \texttt{Trainer} using LMT, run the following instruction in the command line interface: +\begin{lstlisting} +user@home/usr/mycosort-pck-version $ ant +user@home/usr/mycosort-pck-version $ ant -Dclassifier=lmt trainer +\end{lstlisting} + + +\section{Contacts} +Should you have any questions, comments or bug reports, the authors can be reached at the following addresses:\\ +\url{hayda.almeida@concordia.ca} \\ +\url{marie-jean.meurs@concordia.ca} + + +\appendix + + +\bibliographystyle{acm} +% \renewcommand{\baselinestretch}{0.0} +\bibliography{usermanual} + +\end{document}