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A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts

Bo Pang·Lillian Lee
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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.

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Bo Pang, Lillian Lee. 2004-09-29. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. https://arxiv.org/abs/cs/0409058

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