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Contextual affect analysis : a system for verification of emotion appropriateness supported with Contextual Valence Shifters

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/47138

Title: Contextual affect analysis : a system for verification of emotion appropriateness supported with Contextual Valence Shifters
Authors: Ptaszynski, Michal Browse this author
Dybala, Pawel Browse this author
Shi, Wenhan Browse this author
Rzepka, Rafal Browse this author
Araki, Kenji Browse this author →KAKEN DB
Keywords: affect analysis
contextual appropriateness
web-mining
CVS
contextual valence shifters
Issue Date: 2010
Publisher: Inderscience Publishers
Journal Title: International Journal of Biometrics
Volume: 2
Issue: 2
Start Page: 134
End Page: 154
Publisher DOI: 10.1504/IJBM.2010.031793
Abstract: This paper presents a novel method for estimating speaker's affective states based on two contextual features: valence shifters and appropriateness. Firstly, a system for affect analysis is used to recognise specific types of emotions. We improve the baseline system with the analysis of Contextual Valence Shifters (CVS), which determine the semantic orientation of emotive expressions. Secondly, a web mining technique is used to verify the appropriateness of the recognised emotions for the particular context. Verification of contextual appropriateness of emotions is the next step towards implementation of Emotional Intelligence Framework in machines. The proposed method is evaluated using two conversational agents.
Type: article
URI: http://hdl.handle.net/2115/47138
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 荒木 健治

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