Distinguishing affective states in weblogs

M. Genereux, Roger Evans

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

This short paper reports on initial experiments on the use of binary classifiers to distinguish affective states in weblog posts. Using a corpus of English weblog posts, annotated for mood by their authors, we trained support vector machine binary classifiers, and show that a typology of affective states proposed by Scherer’s et al is a good starting point for more refined analysis.
Original languageEnglish
Title of host publicationComputational Approaches to Analyzing Weblogs, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-03
PublisherThe AAAI Press
Pages40-42
Number of pages3
ISBN (Print)9781577352648
Publication statusPublished - Mar 2006
EventComputational Approaches to Analyzing Weblogs, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-03 - Stanford, California, USA
Duration: 1 Mar 2006 → …

Conference

ConferenceComputational Approaches to Analyzing Weblogs, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-03
Period1/03/06 → …

Bibliographical note

© 2006 American Association for Artificial Intelligence

Keywords

  • Weblogs
  • Language analysis

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  • Cite this

    Genereux, M., & Evans, R. (2006). Distinguishing affective states in weblogs. In Computational Approaches to Analyzing Weblogs, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-03 (pp. 40-42). The AAAI Press. http://www.aaai.org/Papers/Symposia/Spring/2006/SS-06-03/SS06-03-009.pdf