Analysing discussions in social networks using group decision making methods and sentiment analysis Morente Molinera, Juan Antonio Kou, Gang Torres-Albero, C. Herrera Viedma, Enrique Group decision making Social networks Consensus measures Sentiment analysis 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. 2020-12-15T12:02:42Z 2020-12-15T12:02:42Z 2017-10-17 journal article Published version: Morente-Molinera, J. A., Kou, G., Peng, Y., Torres-Albero, C., & Herrera-Viedma, E. (2018). Analysing discussions in social networks using group decision making methods and sentiment analysis. Information Sciences, 447, 157-168. [https://doi.org/10.1016/j.ins.2018.03.020] http://hdl.handle.net/10481/64918 10.1016/j.ins.2018.03.020 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ open access Atribución-NoComercial-SinDerivadas 3.0 España Elsevier