DocumentCode :
3703288
Title :
Adapting sentiment analysis to face-to-face human-agent interactions: From the detection to the evaluation issues
Author :
Caroline Langlet;Chlo? Clavel
Author_Institution :
Institut Mines-T?l?com, T?l?com ParisTech, CNRS LTCI, 46 Rue Barrault, 75013 Paris, France
fYear :
2015
Firstpage :
14
Lastpage :
20
Abstract :
This paper introduces a sentiment analysis method suitable to the human-agent and face-to-face interactions. We present the positioning of our system and its evaluation protocol according to the existing sentiment analysis literature and detail how the proposed system integrates the human-agent interaction issues. Finally, we provide an in-depth analysis of the results obtained by the evaluation, opening the discussion on the different difficulties and the remaining challenges of sentiment analysis in human-agent interactions.
Keywords :
"Sentiment analysis","Protocols","Context","Pragmatics","Adaptation models","Machine learning algorithms","Semantics"
Publisher :
ieee
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN :
2156-8111
Type :
conf
DOI :
10.1109/ACII.2015.7344545
Filename :
7344545
Link To Document :
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