Using the Twitter social network as a predictor in the political decision
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Campo DC | Valor | Idioma |
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dc.contributor | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) | es_ES |
dc.contributor.author | Arroba Rimassa, Jorge | - |
dc.contributor.author | Llopis, Fernando | - |
dc.contributor.author | Muñoz, Rafael | - |
dc.contributor.author | Gutiérrez, Yoan | - |
dc.contributor.other | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | es_ES |
dc.date.accessioned | 2018-06-12T15:52:31Z | - |
dc.date.available | 2018-06-12T15:52:31Z | - |
dc.date.issued | 2018-06-12 | - |
dc.identifier.uri | http://hdl.handle.net/10045/76464 | - |
dc.description | Paper submitted to CICLing 2018, 19th International Conference on Computational Linguistics and Intelligent Text Processing, March 18 to 24, 2018, Hanoi, Vietnam. | es_ES |
dc.description.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. | es_ES |
dc.description.sponsorship | 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. | es_ES |
dc.language | eng | es_ES |
dc.rights | Licencia Creative Commons Reconocimiento-NoComercial 4.0 | es_ES |
dc.subject | es_ES | |
dc.subject | Polarity | es_ES |
dc.subject | Relevance | es_ES |
dc.subject | Weighting factors | es_ES |
dc.subject | Ecuador | es_ES |
dc.subject.other | Lenguajes y Sistemas Informáticos | es_ES |
dc.title | Using the Twitter social network as a predictor in the political decision | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.cvID | A9348679 | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-65100-R | - |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2015-65136-C2-2-R | - |
Aparece en las colecciones: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
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Archivo | Descripción | Tamaño | Formato | |
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cicling_formateadov2.pdf | 490,33 kB | Adobe PDF | Abrir Vista previa | |
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