@inproceedings{1218990,
	title = {A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts},
	address = {Morristown, NJ, USA},
	author = {Bo Pang and Lillian Lee},
	booktitle = {ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics},
	pages = {271},
	publisher = {Association for Computational Linguistics},
	url = {http://portal.acm.org/citation.cfm?id=1218990},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/20b6f267021dde9c3181e88c5100a7552/renew},
	description = {A sentimental education},
	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.},
	location = {Barcelona, Spain}, doi = {http://dx.doi.org/10.3115/1218955.1218990},
	keywords = {analysis sentiment }
}