An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Confidence Estimates of Classification Accuracy on New Examples
EuroCOLT '97 Proceedings of the Third European Conference on Computational Learning Theory
An advanced mental state transition network and psychological experiments
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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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.