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Thumbs up? Sentiment Classification using Machine LearningTechniquesBo PangandLillian LeeDepartment of Computer ScienceCornell UniversityIthaca, NY 14853 VaithyanathanIBM Almaden Research Center650 Harry Jose, CA 95120 consider the problem of classifying doc-uments not by topic, but by overall senti-ment, , determining whether a reviewis positive or negative. using movie re-views as data, we find that standard ma-chine learning techniques definitively out-perform human-produced baselines. How-ever, the three Machine learning methodswe employed (Naive Bayes, maximum en-tropy classification, and support vector ma-chines) do not perform as well on sentimentclassification as on traditional topic-basedcategorization. We conclude by examiningfactors that make the Sentiment classifica-tion problem more info:Proceedings of EMNLP2002, pp.
Thumbs up? Sentiment Classification using Machine Learning Techniques Bo Pang and Lillian Lee Department of Computer Science Cornell University Ithaca, NY 14853 USA
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