Distinguishing affective states in weblogs

M. Genereux, Roger Evans

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

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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