Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?
Lecture notes in computer sciencePublished 31 August 2007
Alexander Osherenko, Elisabeth André
Citations28
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
This paper investigates how information on a speaker's affect may be inferred from lexical features using statistical methods, and investigates to what extent such information may be extracted from general-purpose dictionaries in comparison to specialized dictionaries of affect.
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.
Keywords
PsychologyComputer Science
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