A semantic analyzer for aiding emotion recognition in Chinese

Authors:
Jiajun Yan;David B. Bracewell;Fuji Ren;Shingo Kuroiwa
Affiliations:
Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan and School of Information Engineering, Beijing University of Po ...;Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Tokushima-shi, Japan
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Year:
2006

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Abstract

In this paper we present a semantic analyzer for aiding emotion recognition in Chinese. The analyzer uses a decision tree to assign semantic dependency relations between headwords and modifiers. It is able to achieve an accuracy of 83.5%. The semantic information is combined with rules for Chinese verbs containing emotion to describe the emotion of the people in the sentence. The rules give information on how to assign emotion to agents, receivers, etc. depending on the verb in the sentence.