The language of emotion in short blog texts

Alastair J. Gill, Robert M. French, Darren Gergle, Jon Oberlander

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

53 Scopus citations

Abstract

Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion in 50 and 200 word samples of real blog texts previously coded by expert and naive raters. Content analysis (LIWC) reveals angry authors use more affective language and negative affect words, and that joyful authors use more positive affect words. Additionally, a co-occurrence semantic space approach (LSA) was able to identify fear (which naive human emotion raters could not do). We relate our findings to human emotion perception and note potential computational applications.

Original languageEnglish (US)
Title of host publicationCSCW 08 - Conference Proceedings, 2008 ACM Conference on Computer Supported Cooperative Work
Pages299-302
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 ACM Conference on Computer Supported Cooperative Work, CSCW 08 - San Diego, CA, United States
Duration: Nov 8 2008Nov 12 2008

Other

Other2008 ACM Conference on Computer Supported Cooperative Work, CSCW 08
CountryUnited States
CitySan Diego, CA
Period11/8/0811/12/08

Keywords

  • Affect
  • Blogs
  • Emotion
  • Language
  • Text analysis

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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