Textual affect sensing for sociable and expressive online communication

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

研究成果: Conference contribution

91 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ218-229
ページ数12
4738 LNCS
出版ステータスPublished - 2007
外部発表はい
イベント2nd International Conference on Affective Computing and Intelligent Interaction, ACII 2007 - Lisbon
継続期間: 2007 9 122007 9 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4738 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

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

ASJC Scopus subject areas

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

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