Sciweavers

Share
CORR
2002
Springer

Thumbs up? Sentiment Classification using Machine Learning Techniques

8 years 8 months ago
Thumbs up? Sentiment Classification using Machine Learning Techniques
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning techniques definitively outperform human-produced baselines. However, the three machine learning methods we employed (Naive Bayes, maximum entropy classification, and support vector machines) do not perform as well on sentiment classification as on traditional topic-based categorization. We conclude by examining factors that make the sentiment classification problem more challenging. Publication info: Proceedings of EMNLP 2002, pp. 79
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2002
Where CORR
Authors Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
Comments (0)
books