会议专题

The Study on Tezt Emotional Orientation Based on a Three-dimensional Emotion Space Model

In order to recognize human emotion, a three-dimensional (3D) emotion space model was established and used to identify the text emotional orientation visually and intuitively. An emotion dictionary contains informations of eight basic emotions, was built based on the emotion corpus. By using this emotion dictionary, emotion keywords which behave distributions of 3D structure can be projected into the emotion space. Emotion distributions were transformed into an emotion matrix. By analyzing the emotion matrix, not only binary classification of texts but also multi-emotion attributes can be investigated. The best precision 91% of a binary classification is obtained in this work.

Emotional orientation Emotion space Three-dimensional Visualization Emotion dictionary Emotion matriz

Huana Li Fuji Ren

Faculty of Engineering, The University of Tokushima 2-1 Minamijosanjima, Tokushima, Japan Faculty of Engineering, The University of Tokushima 2-1 Minamijosanjima, Tokushima, Japan School of

国际会议

International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

大连

英文

1-6

2009-09-24(万方平台首次上网日期,不代表论文的发表时间)