BoPang LillianLee A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts Association for Computational Linguistics 271 2004 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. BoPang LillianLee A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. 271-278 2004 BoPang LillianLee A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts CoRR cs.CL/0409058 2004 BoPang LillianLee A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts Association for Computational Linguistics 271–278 2004