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

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
Title of host publicationProceedings of the 2008 ACM Conference on Computer Supported Cooperative Work
Place of PublicationNew York, NY, USA
PublisherACM
Pages299-302
Number of pages4
DOIs
Publication statusPublished - 2008

Publication series

NameCSCW '08
PublisherACM

Keywords

  • affect, blogs, emotion, language, text analysis

Fingerprint

Dive into the research topics of 'The Language of Emotion in Short Blog Texts'. Together they form a unique fingerprint.

Cite this