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.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.