Textual affect sensing for sociable and expressive online communication

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

79 Citations (Scopus)

Abstract

In this paper, we address the tasks of recognition and interpretation of affect communicated through text messaging. The evolving nature of language in online conversations is a main issue in affect sensing from this media type, since sentence parsing might fail while syntactical structure analysis. The developed Affect Analysis Model was designed to handle not only correctly written text, but also informal messages written in abbreviated or expressive manner. The proposed rule-based approach processes each sentence in sequential stages, including symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. In a study based on 160 sentences, the system result agrees with at least two out of three human annotators in 70% of the cases. In order to reflect the detected affective information and social behaviour, an avatar was created.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages218-229
Number of pages12
Volume4738 LNCS
Publication statusPublished - 2007
Externally publishedYes
Event2nd International Conference on Affective Computing and Intelligent Interaction, ACII 2007 - Lisbon
Duration: 2007 Sep 122007 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4738 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Affective Computing and Intelligent Interaction, ACII 2007
CityLisbon
Period07/9/1207/9/14

Keywords

  • Affective sensing from text
  • Affective user interface
  • Avatar
  • Emotions
  • Language parsing and understanding
  • Online communication
  • Text analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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  • Cite this

    Neviarouskaya, A., Prendinger, H., & Ishizuka, M. (2007). Textual affect sensing for sociable and expressive online communication. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4738 LNCS, pp. 218-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4738 LNCS).