@misc{10481/64918,
year = {2017},
month = {10},
url = {http://hdl.handle.net/10481/64918},
abstract = {Social networks are one of the most preferred environments for people to carry
out debates. Due to the fact that a high amount of people can participate
in the process, there is a need of tools that can analyse these discussions
and extract useful information from them. In this paper, a novel way of
determining how the debate is going on, if there is consensus among the
participants and which alternatives are preferred is presented. Sentiment
analysis is used in order to measure the level of preference that social media
users have about a certain set of alternatives. In order to test the presented
scheme, a real application example that makes use of Twitter information is
presented.},
organization = {European Union (EU)
	
TIN2016-75850-R},
publisher = {Elsevier},
keywords = {Group decision making},
keywords = {Social networks},
keywords = {Consensus measures},
keywords = {Sentiment analysis},
title = {Analysing discussions in social networks using group decision making methods and sentiment analysis},
doi = {10.1016/j.ins.2018.03.020},
author = {Morente Molinera, Juan Antonio and Kou, Gang and Torres-Albero, C. and Herrera Viedma, Enrique},
}