Machine Learning & Sentiment Analysis: Text Classification using Python & NLTK
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. Text Reviews from Yelp Academic Dataset are used to create training dataset. Cross-validation is … Read more