Comparison of Four Text Classifiers on Movie Reviews

Text Categorization plays an important role in the fields of information retrieval, machine learning, natural language processing, data mining and others. With the development of computer and information technology, there have been many classification algorithms. Each text classification algorithms will get result at differing speeds and efficiency due to the various feature of test text. It has been found that Naive Bayes classifier has a higher accuracy and rate by classifying Movie Reviews in NLTK using Decision Tree classifier, Naive Bayes classifier, Maximum Entropy classifier and K-nearest neighbor classifier.