%0 Conference Paper %1 1218990 %A Pang, Bo %A Lee, Lillian %B ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics %C Morristown, NJ, USA %D 2004 %I Association for Computational Linguistics %K analysis sentiment %P 271 %R http://dx.doi.org/10.3115/1218955.1218990 %T A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts %U http://portal.acm.org/citation.cfm?id=1218990 %X 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.

@inproceedings{1218990, abstract = {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.}, added-at = {2008-02-22T20:53:15.000+0100}, address = {Morristown, NJ, USA}, author = {Pang, Bo and Lee, Lillian}, biburl = {https://www.bibsonomy.org/bibtex/20b6f267021dde9c3181e88c5100a7552/renew}, booktitle = {ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics}, description = {A sentimental education}, doi = {http://dx.doi.org/10.3115/1218955.1218990}, interhash = {bdbece23b14cf5689242ba3b6a77408f}, intrahash = {0b6f267021dde9c3181e88c5100a7552}, keywords = {analysis sentiment}, location = {Barcelona, Spain}, pages = 271, publisher = {Association for Computational Linguistics}, timestamp = {2008-02-26T13:44:33.000+0100}, title = {A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts}, url = {http://portal.acm.org/citation.cfm?id=1218990}, year = 2004 }