Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?

Authors:
Alexander Osherenko;Elisabeth André
Affiliations:
Multimedia Concepts and Applications, Faculty of Applied Informatics, University of Augsburg, Germany;Multimedia Concepts and Applications, Faculty of Applied Informatics, University of Augsburg, Germany
Venue:
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Year:
2007

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Abstract

Recently, there has been considerable interest in the automated recognition of affect from written and spoken language. In this paper, we investigate how information on a speaker's affect may be inferred from lexical features using statistical methods. Dictionaries of affect offer great promise to affect sensing since they contain information on the affective qualities of single words or phrases that may be employed to estimate the emotional tone of the corresponding dialogue turn. We investigate to what extent such information may be extracted from general-purpose dictionaries in comparison to specialized dictionaries of affect. In addition, we report on results obtained for a dictionary that was tailored to our corpus.