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Emotion Estimation System Based on Emotion Occurrence Sentence Pattern

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

Abstract

The approach of emotion estimation from the conventional text was for estimating superficial emotion expression mainly. However emotions may be included in human’s utterance even if emotion expressions are not in it. In this paper, we proposed an emotion estimation algorithm for conversation sentence. We gave the rules of emotion occurrence to 1616 sentence patterns. In addition, we developed a dictionary which consisted of emotional words and emotional idioms. The proposed method can estimate emotions in a sentence by matching the sentence pattern of emotion occurrence and the rule. Furthermore, we can get two or more emotions included in the sentence by calculating emotion parameter. We constructed the experiment system based on the proposed method for evaluation. We analyzed weblog data including 253 sentences by the system, and conducted the experiment to evaluate emotion estimation accuracy. As a result, we obtained the estimation accuracy of about 60 %.

Keywords

Emotion Expression Emotion Recognition Semantic Attribute Attribute Image Emotion Attribute 
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

  • Kazuyuki Matsumoto
    • 1
  • Ren Fuji
    • 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

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