Narrowing the social gap among people involved in global dialog: Automatic emotion detection in blog posts

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

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

11 Citations (Scopus)

Abstract

In this paper, we introduce a new approach to automatic emotion detection in blog posts. The purpose of our research is to develop an effective tool for recognition and interpretation of affect conveyed through written language. The main idea behind the proposed rule-based algorithm is to determine the prevailing emotion in each sentence of diary-like entry and to display the dynamics of emotion changes throughout the whole document by using simplified emotional faces.

Original languageEnglish
Title of host publicationICWSM 2007 - International Conference on Weblogs and Social Media
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO
Duration: 2007 Mar 262007 Mar 28

Other

Other2007 International Conference on Weblogs and Social Media, ICWSM 2007
CityBoulder, CO
Period07/3/2607/3/28

Keywords

  • Affect sensing from text
  • Affective user interface
  • Blogs
  • Emotions
  • Sentiment analysis
  • Social media

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Neviarouskaya, A., Prendinger, H., & Ishizuka, M. (2007). Narrowing the social gap among people involved in global dialog: Automatic emotion detection in blog posts. In ICWSM 2007 - International Conference on Weblogs and Social Media