Adapting sentiment analysis to face-to-face human-agent interactions: from detection to evaluation issues

Caroline Langlet 1, 2 Chloé Clavel 3, 2
1 MM - Multimédia
LTCI - Laboratoire Traitement et Communication de l'Information
3 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
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.

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https://hal-imt.archives-ouvertes.fr/hal-01259917
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Submitted on : Thursday, January 21, 2016 - 11:44:11 AM
Last modification on : Saturday, September 14, 2019 - 1:39:47 AM

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  • HAL Id : hal-01259917, version 1

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Caroline Langlet, Chloé Clavel. Adapting sentiment analysis to face-to-face human-agent interactions: from detection to evaluation issues. ACII 2015, Aug 2015, Qian, China. ⟨hal-01259917⟩

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