2002 ThumbsUp

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Subject Headings: Document Sentiment Classification.

Notes

Abstract

  • 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.,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2002 ThumbsUpBo Pang
Lillian Lee
Shivakumar Vaithyanathan
Thumbs Up?: Sentiment classification using machine learning techniquesProceedings of the ACL-2002 Conference on Empirical Methods in Natural Language Processinghttp://acl.ldc.upenn.edu/acl2002/EMNLP/pdfs/EMNLP219.pdf10.3115/1118693.11187042002