A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles

Abstract

This paper presents a novel two-stage framework to extract opinionated sentences from a given news article. In the first stage, Naı̈ve Bayes classifier by utilizing the local features assigns a score to each sentence the score signifies the probability of the sentence to be opinionated. In the second stage, we use this prior within the HITS (Hyperlink… (More)

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