I have started getting quite interesting in the concept of Natural Language Processing and tried to implement and understand this concept from a blog i read from towardsdatascience.com

Fake News Prediction Code using Logistic Regression Model in Python to predict whether the news is fake or real by applying supervised machine learning.

Sentiment analysis of movie reviews based on NLP and Machine Learning!

Project in NLP specialization. Bag of words model helps in reading text and predicting the category.

This project is helpful in finding the occurance of most occured words in wikipedia related to any word(s) enter by user

This is a NLP Project contains concepts Tokenization, Stemming, Lemmatization, Vectorization.

NLP for study

How to remove stop words in python using:\n* NLTK Library\n* SpaCy Library\n* Gensim Library\n* Custom stop words

Sentiment mining

spam_ham_classifier model

Text preprocessing, indexer constructions, and search engines implementation for information retrieval. Performance analysis done by measuring the construction time of indexers.

中文常用停用词表（哈工大停用词表、百度停用词表等）

Small program to statistic, compute TF-IDF and remove stopwords

We made the summarizer using modified PageRank Algorithm, cosine similarity for ranking. The hack devised by us was to pop out the sentences before next iteration to allow all the aspects influence the summary.

Studies related to text analyses and creation of wordclouds with Python.

O projeto mostra a utilização de alguns métodos da biblioteca Spark NLP que são utilizados para processamento de linguagem natural.