Emotion Prediction System for Japanese Language Considering Compound Sentences, Double Negatives and Adverbs

Rzepka, Rafal; Takizawa, Mitsuru; Araki, Kenji

Proceedings of Language Sense on Computers IJCAI 2016 Workshop, 2016

Permalink : https://hdl.handle.net/2115/63952

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アクセス権	open access
URI	https://hdl.handle.net/2115/63952
タイトル	Emotion Prediction System for Japanese Language Considering Compound Sentences, Double Negatives and Adverbs
著者	Rzepka, Rafal ; Takizawa, Mitsuru ; Araki, Kenji
e-Rad_Researcher 80396316 著者名 Rzepka, Rafal
著者名 Takizawa, Mitsuru
e-Rad_Researcher 50202742 著者名 Araki, Kenji
言語	英語
発行日	2016-07
出版者	IJCAI
収録物名	Proceedings of Language Sense on Computers IJCAI 2016 Workshop
抄録	In this paper we introduce an algorithm that is ca- pable of recognizing emotions of user’s statements in order to achieve more effective and smoother human-machine conversation. Many studies of the emotion recognition have been actively conducted in order to quantify affect, but it is rather difficult to recognize it from more complicated sentences, often having double negatives. We describe our enhancements of emotion recognizer by combin- ing emotive expressions lexicon, web-mining tech- niques, processing compound sentences, and ad- verb weighting for emotiveness degree modifica- tion. The effectiveness of the proposed algorithm for recognizing more complicated sentences was confirmed through evaluation experiments which results are also introduced.
会議記述	会議名 International Joint Conference on Artificial Intelligence 回次 25 開催地 New York City, New York 開催国 United States of America
資源タイプ	会議発表論文
出版タイプ	Version of Record