Sentiment Classification of Film Reviews Using IB1

Review of an object or product is important to public judgment of the product. Review can be used in film industry to consider a movie is worth to watch or not. Sentiment classification is used to detect the class of a commentary or review. The purpose of this research is to classify film reviews from Rotten Tomatoes using text mining methods. Classification methods are various like Naive Bayes, Instance Based Learning, Decision Tree, SVM. And IB1 (Instance Based Learning 1) is used on this research because of its simplicity and accuracy. WordNet component also used to expand the similar words on database. Performance of the algorithm is measured by evaluation methods such as Accuracy, Precision, Recall and F-measure.