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Retracted: Recognition of Emotion with SVMs

  • Zhi Teng
  • Fuji Ren
  • Shingo Kuroiwa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

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.

Keywords

Support Vector Machine Face Image Emotion Recognition Vector Space Model Emotion Classification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhi Teng
    • 1
  • Fuji Ren
    • 1
    • 2
  • Shingo Kuroiwa
    • 1
  1. 1.Faculty of Engineering, The University of Tokushima, 2-1 Minamijosanjima, Tokushima, 770-8506Japan
  2. 2.School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876China

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