Authors
Bo Pang, Lillian Lee
Publication date
2004
Conference
Proceedings of the ACL
Pages
271--278
Publisher
Association for Computational Linguistics
Description
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down". To determine this sentiment polarity, we propose a novel machine-learning method that applies text-categorization techniques to just the subjective portions of the document. Extracting these portions can be implemented using efficient techniques for finding minimum cuts in graphs; this greatly facilitates incorporation of cross-sentence contextual constraints.
Total citations
Scholar articles
B Pang, L Lee - arXiv preprint cs/0409058, 2004