Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis

DOI

10.2991/eusflat-19.2019.4How to use a DOI?

Keywords

Sentiment analysis Group decision making Linguistic modelling

Abstract

Traditional group decision making methods work under the assumption that experts must provide their preferences to a computational system after carrying out a thorough debate. Nevertheless, this is not natural since the mean where experts express their ideas and preferences is inside the debate. In this paper, a novel method that is capable of extracting experts' preferences directly from the debate transcripts is presented. Thanks to this, experts do not have to go through an stressful process in order to provide the same information that they have already provide in the discussion part.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan Antonio Morente-Molinera
AU  - Francisco Javier Cabrerizo
AU  - Ignacio J. Perez
AU  - Sergio Alonso
AU  - Enrique Herrera-Viedma
PY  - 2019/08
DA  - 2019/08
TI  - Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 22
EP  - 29
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.4
DO  - 10.2991/eusflat-19.2019.4
ID  - Morente-Molinera2019/08
ER  -