A semantic analyzer for aiding emotion recognition in Chinese

被引：0
|
作者：
Yan, Jiajun
Bracewell, David B.
Ren, Fuji
Kuroiwa, Shingo
机构：
[1] Univ Tokushima, Dept Informat Sci & Intelligent Syst, Fac Engn, Tokushima 7708506, Japan
[2] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS | 2006年 / 4114卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：893 / 901
页数：9
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