Detecting arguing and sentiment in meetings

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 rela-tions between dialog structure information and opinion expression in context of multi-party discourse. Finally we show that classi-fiers using lexical and discourse knowledge have significant improvement over baseline.