Identifying emotions, intentions, and attitudes in text using a game with a purpose

  • Authors:
  • Lisa Pearl;Mark Steyvers

  • Affiliations:
  • University of California, Irvine, CA;University of California, Irvine, CA

  • Venue:
  • CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
  • Year:
  • 2010

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Abstract

Subtle social information is available in text such as a speaker's emotional state, intentions, and attitude, but current information extraction systems are unable to extract this information at the level that humans can. We describe a methodology for creating databases of messages annotated with social information based on interactive games between humans trying to generate and interpret messages for a number of different social information types. We then present some classification results achieved by using a small-scale database created with this methodology.