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Determining the Emotion of News Articles

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

Abstract

Authors of news stories through their choice in words and phrasing inject an underlying emotion into their stories. A story about the same event or person can have radically different emotions depending on the author, newspaper, and nationality. In this paper we propose a system to judge the emotion of a news article based on emotion word, idiom and modifier dictionaries. This type of system allows one to judge the world opinion on varying topics by looking at the emotion used within news articles about the topic.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • David B. Bracewell
    • 1
  • Junko Minato
    • 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

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