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Shifting Valence Helps Verify Contextual Appropriateness of Emotions

This paper presents a method for estimating contextual appropriateness of speaker’s emotions, supported with the analysis of Contextual Valence Shifters (CVS), which determine the semantic orientation of the valence of emotive expressions. In the proposed method a Web mining technique is used to verify the contextual appropriateness of the emotions recognized by a system for affect analysis supported with CVS. A conversational agent equipped with this system can choose an appropriate conversational procedure. The proposed method is evaluated using two conversational agents. The use of CVS has shown an improvement in the method.