Advertisement

A Semantic Analyzer for Aiding Emotion Recognition in Chinese

  • Jiajun Yan
  • David B. Bracewell
  • Fuji Ren
  • Shingo Kuroiwa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)

Abstract

In this paper we present a semantic analyzer for aiding emotion recognition in Chinese. The analyzer uses a decision tree to assign semantic dependency relations between headwords and modifiers. It is able to achieve an accuracy of 83.5%. The semantic information is combined with rules for Chinese verbs containing emotion to describe the emotion of the people in the sentence. The rules give information on how to assign emotion to agents, receivers, etc. depending on the verb in the sentence.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jiajun Yan
    • 1
  • David B. Bracewell
    • 1
  • Fuji Ren
    • 1
    • 2
  • Shingo Kuroiwa
    • 1
  1. 1.Department of Information Science and Intelligent Systems, Faculty of Engineering, The University of Tokushima, Minami-Josanjima-Cho Tokushima-shi 770-8506Japan
  2. 2.School of Information Engineering, Beijing University of Posts and Telecommunications Beijing 100876China

Personalised recommendations