Using the Twitter social network as a predictor in the political decision

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Title: Using the Twitter social network as a predictor in the political decision
Authors: Arroba Rimassa, Jorge | Llopis, Fernando | Muñoz, Rafael | Gutiérrez, Yoan
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Twitter | Polarity | Relevance | Weighting factors | Ecuador
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: 12-Jun-2018
Abstract: The use of social networks as a predictive tool to predict the outcome of an election can generate controversy; however if you have a methodology that tries to equate the extracted data as if they were obtained through a conventional survey, that is to say using weighting factors more than what usually should be done, polarity and relevance of each tweet, can make it a very reliable technique in light of the results obtained; the proposed methodology was applied in the presidential election of Ecuador on February 19th, 2017.
Description: Paper submitted to CICLing 2018, 19th International Conference on Computational Linguistics and Intelligent Text Processing, March 18 to 24, 2018, Hanoi, Vietnam.
Sponsor: This research work has been partially funded by the University of Alicante, Generalitat Valenciana, Spanish Government, Ministerio de Educación, Cultura y Deporte and ASAP - Ayudas Fundación BBVA a equipos de investigación científica 2016(FUNDACIONBBVA2-16PREMIO) through the projects, TIN2015-65100-R, TIN2015-65136-C2-2-R, PROMETEOII/2014/001, GRE16-01: “Plataforma inteligente para recuperación, análisis y representación de la información generada por usuarios en Internet” and PR16_SOC_0013.
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Rights: Licencia Creative Commons Reconocimiento-NoComercial 4.0
Peer Review: si
Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

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