CREATING A CHINESE EMOTION LEXICON BASED ON CORPUS REN-CECPS

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.

关键词： Emotion Lexicon Emotion Intensity Tongyici Cilin HowNet Semantic Similarity SVM

作者: Ji Li Fuji Ren

作者单位: Department of Information Science and Intelligent System,Graduate School of Advanced Technology and Department of Information Science and Intelligent System,Graduate School of Advanced Technology and

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

会议地点: 北京

会议语种:英文

页码: 80-84

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）