EmoLogus: Presentation of a linguistically based model for emotion detection and adaption to another context

This paper presents a system which aims at characterizing emotions in speech by only considering linguistic content. It is based on the assumption that emotions can be compound: simple lexical words have an intrinsic emotional value, while verbal and adjectival predicates act as a function on the em...

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Bibliographic Details
Published in2011 IEEE International Conference on Mechatronics and Automation pp. 1303 - 1308
Main Authors Le Tallec, M., Duhaut, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
Context
Ontologies
Robot kinematics
Semantics
Speech
Syntactics
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Summary:This paper presents a system which aims at characterizing emotions in speech by only considering linguistic content. It is based on the assumption that emotions can be compound: simple lexical words have an intrinsic emotional value, while verbal and adjectival predicates act as a function on the emotional values of their arguments. The paper describes the compositional computation algorithm of the emotion, as well as the lexical emotional norm used by this algorithm. A quantitative and qualitative analysis of the differences between system outputs and expert annotations is given, which shows satisfactory results, with a good detection of emotional valency in 90.2% of the test utterances. After that, a description of the adaptation of the system is presented.
ISBN:9781424481132
1424481139
ISSN:2152-7431
2152-744X
DOI:10.1109/ICMA.2011.5985850