An exploration of sentiment summarization
Philip Beineke, Trevor Hastie, Christopher D. Manning, Shivakumar Vaithyanathan · 2003
We introduce the idea of a sentiment summary, a single pas-sage from a document that captures a key aspect of the au-thor’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.