Paper: Thumbs Up? Sentiment Classification Using Machine Learning Techniques

ACL ID W02-1011
Title Thumbs Up? Sentiment Classification Using Machine Learning Techniques
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2002
Authors

We consider the problem of classifying doc- uments not by topic, but by overall senti- ment, e.g., determining whether a review is positive or negative. Using movie re- views as data, we flnd that standard ma- chine learning techniques deflnitively out- perform human-produced baselines. How- ever, the three machine learning methods we employed (Naive Bayes, maximum en- tropy classiflcation, and support vector ma- chines) do not perform as well on sentiment classiflcation as on traditional topic-based categorization. We conclude by examining factors that make the sentiment classiflca- tion problem more challenging.