Exploring Sentiment Summarization

Philip Beineke, Trevor Hastie, Christopher Manning, and Shivakumar Vaithyanathan

We introduce the idea of a sentiment summary, a single passage from a document that captures the author’s opinion about his or her subject. Using supervised data from the Rotten Tomatoes website, we examine features that appear to be helpful in locating a good summary sentence. These features are used to fit Naive Bayes and regularized logistic regression models for summary extraction.

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