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README
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Taming Text, by Grant Ingersoll, Thomas Morton and Drew Farris is
designed to teach software engineers the basic concepts of working
with text to solve search and Natural Language Processing problems.
The book focuses on teaching using existing open source libraries like
Apache Solr, Apache Mahout and Apache OpenNLP to manipulate text. To
learn more, visit http://www.manning.com/ingersoll.
Getting Started
---------------
Throughout this document, TT_HOME is the directory containing the
checkout of the Taming Text code base.
Taming Text uses Maven for building and running the code. To get
started, you will need:
1. JDK 1.6+
2. Maven 3.0 or higher
3. The OpenNLP English models, available at
http://maven.tamingtext.com/opennlp-models/models-1.5.
Place the models in the TT_HOME directory in a directory named
opennlp-models.
This can be done by using the following commands on UNIX from the
TT_HOME directory:
mkdir opennlp-models
cd opennlp-models
wget -nd -np -r http://maven.tamingtext.com/opennlp-models/models-1.5/
rm index.html*
or using wget (https://eternallybored.org/misc/wget/) and 7-Zip (http://www.7-zip.org/) on windows (both must be added to the path environment variable):
md opennlp-models
cd opennlp-models
wget -nd -np -r http://maven.tamingtext.com/opennlp-models/models-1.5/
del index.htm*
4. Get WordNet 3.0 and place it in the TT_HOME directory.
This can be done by using the following commands on UNIX from the
TT_HOME directory:
wget -nd -np -m http://maven.tamingtext.com/wordnet/
rm index.html*
tar -xf WordNet-3.0.tar.gz
or using wget (https://eternallybored.org/misc/wget/) and 7-Zip (http://www.7-zip.org/) on windows (both must be added to the path environment variable):
wget -nd -np -r http://maven.tamingtext.com/wordnet/
del index.html*
7z x WordNet-3.0.tar.gz
7z x WordNet-3.0.tar
Building the Source
-------------------
Prior to building the source, for those previously unfamiliar with Maven,
it may be wise to read this to avoid future hassles:
http://maven.apache.org/guides/getting-started/maven-in-five-minutes.html
To build the source, in TT_HOME:
mvn clean package
Running the Examples
--------------------
Many of the examples can be run via the 'tt' script in the TT_HOME/bin
directory. Running this script without arguments will display a list
of the example names.
Some of the samples are powered by pre-configured instances of
solr. These can be started with the TT_HOME/bin/start-solr.sh script,
which takes a single argument, the name of the instance to
start. Available instances include solr-qa, solr-clustering and
solr-tagging.