Recognition of emotion with SVMs

被引:0
|
作者
Teng, Zhi
Ren, Fuji
Kuroiwa, Shingo
机构
[1] Univ Tokushima, Fac Engn, Tokushima 7708506, Japan
[2] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China
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 recent years, several methods on human emotion recognition have been published. In this paper, we proposed a scheme that applied the emotion classification technique for emotion recognition. The emotion classification model is Support Vector Machines (SVMs). The SVMs have become an increasingly popular tool for machine learning tasks involving classification, regression or novelty detection. The Emotion Recognition System will be recognise emotion from the sentence that was inputted from the keyboard. The training set and testing set were constructed to verify the effect of this model. Experiments showed that this method could achieve better results in practice. The result showed that this method has potential in the emotion recognition field.
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收藏
页码:701 / 710
页数:10
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