Representing emotional momentum within expressive internet communication

  • Authors:
  • David John;Anthony Boucouvalas;Zhe Xu

  • Affiliations:
  • Multimedia Communications Research Group, Bournemouth University, Fern Barrow, Dorset, United Kingdom;Multimedia Communications Research Group, Bournemouth University, Fern Barrow, Dorset, United Kingdom;Multimedia Communications Research Group, Bournemouth University, Fern Barrow, Dorset, United Kingdom

  • Venue:
  • IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
  • Year:
  • 2006
  • #Emotional tweets

    SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation

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Abstract

This paper examines how the momentum of emotion can be modeled and reflected within expressive Internet communication systems. We describe a prototype real-time emotional communicator. A core component is the text-to-emotion extraction engine. The engine analyses the text that is input by users, extracts the emotion that is contained and outputs the parameters that are necessary to invoke an appropriate image expressing the emotion. The parameters include both the detected emotion and the intensity. The concept of 'Emotional Momentum' is incorporated in our engine to resolve ambiguity or conflicting emotional content that occur within individual sentences.