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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributorUniversidad Icesi
dc.contributor.authorGrimaldi, Didier
dc.contributor.authorDiaz Cely, Javier
dc.contributor.authorArboleda, Hugo
dc.date.accessioned2021-05-07T07:53:23Z
dc.date.accessioned2023-10-02T06:43:01Z
dc.date.available2021-05-07T07:53:23Z
dc.date.available2023-10-02T06:43:01Z
dc.date.created2020-03
dc.date.issued2020-08
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3429
dc.description.abstractThe avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only their value, but also their limits. Predicting election results using Twitter data is an example of how data can directly influence the politic domain and it also serves an appealing research topic. This article aims to predict the results of the 2019 Spanish Presidential election and the voting share of each candidate, using Tweeter. The method combines sentiment analysis and volume information and compares the performance of five Machine learning algorithms. Several data scrutiny uncertainties arose that hindered the prediction of the outcome. Consequently, the method develops a political lexicon-based framework to measure the sentiments of online users. Indeed, an accurate understanding of the contextual content of the tweets posted was vital in this work. Our results correctly ranked the candidates and determined the winner by means of a better prediction of votes than official research institutes.eng
dc.format.extent19 p.cat
dc.language.isoengcat
dc.publisherSpringercat
dc.relation.ispartofJournal of Big Data, 2020cat
dc.rightsAttribution 4.0 International
dc.rights© L'autor/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherAprenentatge automàticcat
dc.subject.otherEspanya. Parlament -- Eleccions, 2019cat
dc.subject.otherEleccions -- Xarxes socialscat
dc.subject.otherDades massivescat
dc.titleInferring the votes in a new political landscape: the case of the 2019 Spanish Presidential electionscat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/publishedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapcat
dc.subject.udc00
dc.subject.udc004
dc.subject.udc32
dc.subject.udc62
dc.subject.udc65
dc.identifier.doihttps://doi.org/10.1186/s40537-020-00334-5cat


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Mostra el registre parcial de l'element

Attribution 4.0 International
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