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Emotion Classification System for Chatting Data

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(5), pp.11-17
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

윤영미 1 Youngho Lee 1

1가천의과학대학교

Accredited

ABSTRACT

It's a trend that the proportion of using an internet messenger among on-line communication methods is getting increased. However, there are not many applications which efficiently utilize these messenger communication data. Messenger communication data have specific characteristics that reflect the user's linguistic habits. The linguistic habits are revealed through frequently used words and emoticons, and user's emotions can be grasped by these. This paper proposes the method that efficiently classifies the emotions of a messenger user using frequently used words or symbols. The emotion classifier from repeated experiments achieves high accuracy of more than 95%.

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