Proceedings of the Fuzzy System Symposium
28th Fuzzy System Symposium
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Classification of Emotional Onomatopoeias Based on Questionnaire Surveys
Yuzu UchidaKenji ArakiJun Yoneyama
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CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 175-180

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Abstract
Emotion estimation from sentences is helpful in semantic analysis and human-computer interaction. People sometimes express their emotions directly and sometimes describe experiences that produce various emotions. Emotion estimation requires both verbal expressions. We believe Japanese onomatopoeias could serve as a landmark of emotions. In this study, multiple raters judged emotions found in 324 onomatopoeias. %We classified 324 onomatopoeias into eight emotional categories based on the evaluation. We quantitatively evaluated the degree of agreement among the raters and attempted to improve it.
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© 2012 Japan Society for Fuzzy Theory and Intelligent Informatics
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