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

Dialog boxComputer scienceSentiment analysisNatural language processingBaseline (sea)Context (archaeology)Artificial intelligenceWord (group theory)Expression (computer science)Function (biology)Information retrievalLinguisticsWorld Wide WebPolitical scienceHistory

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Publication Info

Year
2007
Type
article
Pages
26-34
Citations
87
Access
Closed

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Swapna Somasundaran, Josef Ruppenhofer, Janyce Wiebe (2007). Detecting Arguing and Sentiment in Meetings. , 26-34. https://doi.org/10.18653/v1/2007.sigdial-1.5

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DOI
10.18653/v1/2007.sigdial-1.5