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Detecting Arguing and Sentiment in Meetings

Published 1 January 2007Open access
Swapna Somasundaran, Josef Ruppenhofer, Janyce Wiebe
Citations87
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TL;DR

This paper analyzes opinion categories like Sentiment and Arguing in meetings using genre-specific lexicons and shows that classifiers using lexical and discourse knowledge have significant improvement over baseline.

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.

Keywords

Computer Science