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Machine Learning, Natural Language Processing (NLP), Python, Sentiment Analysis »

[25 Jan 2016 | One Comment]

This article deals with using different feature sets to train three different classifiers [Naive Bayes Classifier, Maximum Entropy (MaxEnt) Classifier, and Support Vector Machine (SVM) Classifier].
Bag of Words, Stopword Filtering and Bigram Collocations methods are used for feature set generation.