Emotion estimation algorithm based on interpersonal emotion included in emotional dialogue sentences

Authors:
Kazuyuki Matsumoto;Fuji Ren;Shingo Kuroiwa;Seiji Tsuchiya
Affiliations:
Faculty of Engineering, The University of Tokushima, Tokushimashi, Japan;Faculty of Engineering, The University of Tokushima, Tokushimashi, Japan and Beijing University of Posts and Telecommunications, Beijing, China;Faculty of Engineering, The University of Tokushima, Tokushimashi, Japan;Faculty of Engineering, The University of Tokushima, Tokushimashi, Japan
Venue:
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Year:
2007

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Abstract

Emotion recognition aims to make computer understand ambiguous information of human emotion. Recently, research of emotion recognition is actively progressing in various fields such as natural language processing, speech signal processing, image data processing or brain wave analysis. We propose a method to recognize emotion in dialogue text by using originally created Emotion Word Dictionary. The words in the dictionary are weighted according to the occurrence rates in the existing emotion expression dictionary. We also propose a method to judge the object of emotion and emotion expressivity in dialogue sentences. The experiment using 1,190 sentences proved about 80% accuracy.