Detecting Arguing and Sentiment in Meetings

Abstract

This paper analyzes opinion categories like Sentiment and Arguing in meetings.We first annotate the categories manually.We then develop genre-specific lexicons using interesting function word combinations for detecting the opinions.We analyze relations between dialog structure information and opinion expression in context of multiparty discourse.Finally we show that classifiers using lexical and discourse knowledge have significant improvement over baseline.