CREATING A CHINESE EMOTION LEXICON BASED ON CORPUS REN-CECPS

被引：0

作者：

Li, Ji ^{[1
]}

Ren, Fuji ^{[1
,2
]}

机构：

[1] Univ Tokushima, Dept Informat Sci & Intelligent Syst, Grad Sch Adv Technol & Sci, Tokushima, Japan

[2] Hefei Univ Technol, AIM, Hefei, Peoples R China

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年

关键词：

Emotion Lexicon; Emotion Intensity; Tongyici Cilin; HowNet; Semantic Similarity; SVM;

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：

As a basic emotion resource, an emotion lexicon plays a very important role in the classification and recognition of emotion in text. This paper proposes an automatic approach to create a Chinese emotion lexicon with tag of emotion intensity based on the emotion corpus Ren-CECps 1.0. We present a new algorithm of emotion vector computation by making use of two language dictionaries Tongyici Cilin and HowNet. Comparing with the experimental results on verbs by SVM classification method, our approach is proved feasible and effective.

引用

页码：80 / 84

页数：5

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