Distinguishing affective states in weblogs

Genereux, M. and Evans, R.P. (2006) Distinguishing affective states in weblogs In: Proceedings of the AAAI-2006 Spring Symposium on Computational Approaches to Analysing Weblogs, 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
ID Code:3187
Deposited By:Helen Webb
Deposited On:17 Nov 2007
Last Modified:21 Oct 2013 10:02

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