Distinguishing affective states in weblogs

Genereux, M. and Evans, Roger (2006) Distinguishing affective states in weblogs In: Computational Approaches to Analyzing Weblogs, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-03, 27-29 Mar 2006, Stanford, California, USA.

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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.

Item Type: Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information: © 2006 American Association for Artificial Intelligence
Uncontrolled Keywords: Weblogs; Language analysis
Subjects: Q000 Languages and Literature - Linguistics and related subjects > Q100 Linguistics
G000 Computing and Mathematical Sciences > G700 Artificial Intelligence
Faculties: Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Natural Language Technology
Depositing User: Helen Webb
Date Deposited: 17 Nov 2007
Last Modified: 26 Oct 2015 11:53
URI: http://eprints.brighton.ac.uk/id/eprint/3187

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