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

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/63952

Title: Emotion Prediction System for Japanese Language Considering Compound Sentences, Double Negatives and Adverbs
Authors: Rzepka, Rafal Browse this author →KAKEN DB
Takizawa, Mitsuru Browse this author
Araki, Kenji Browse this author →KAKEN DB
Issue Date: Jul-2016
Publisher: IJCAI
Journal Title: Proceedings of Language Sense on Computers IJCAI 2016 Workshop
Abstract: 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.
Conference Name: International Joint Conference on Artificial Intelligence
Conference Sequence: 25
Conference Place: New York City, New York
Type: proceedings
URI: http://hdl.handle.net/2115/63952
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: Rzepka, Rafal

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