Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic

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dc.contributor.advisorAndrade, Ermeson Carneiro de
dc.contributor.advisorAraújo, Danilo Ricardo Barbosa de
dc.contributor.advisor-coDantas, Jamilson Ramalho
dc.contributor.advisor-coLatteshttp://lattes.cnpq.br/5655706091153128
dc.contributor.advisorLatteshttp://lattes.cnpq.br/2466077615273972
dc.contributor.authorSilva, Henrique Farias Pereira da
dc.contributor.authorLatteshttp://lattes.cnpq.br/9810796504568932
dc.date.accessioned2023-03-09T18:19:07Z
dc.date.available2023-03-09T18:19:07Z
dc.date.issued2021-02-19
dc.degree.departamentComputação
dc.degree.graduationBacharelado em Ciência da Computação
dc.degree.grantorUniversidade Federal Rural de Pernambuco
dc.degree.levelGraduacao
dc.degree.localRecife
dc.description.abstractxThe COVID-19 pandemic has affected the whole world since the beginning of 2020. In Brazil, over 70% of the population rely on the Brazil’s Unified Health System (SUS). Knowing public opinion related to SUS is very important for the improvement of services and assistance provided by such an entity. Sentiment analysis has been used in several applications including social networks and blogs to extract public opinion. Despite the fact that other papers have already worked with sentiment analysis, none of them have focused on SUS. Therefore, the goal of this paper is to analyse the sentiments shown by Brazillian Twitter users about SUS before and during COVID-19 pandemic. To reach this goal, a database of portuguese tweets regarding SUS posted between december 2019 and october 2020 was created. The tweets were pre-processed, classified and then analysed. The results show that, in most cases, users are in favor of SUS.
dc.format.extent8 f.
dc.identifier.citationSILVA, Henrique Farias Pereira da. Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic. 2021. 8 f. Trabalho de Conclusão de Curso (Bacharelado em Ciência da Computação) – Departamento de Computação, Universidade Federal Rural de Pernambuco, Recife, 2021.
dc.identifier.darkflstrmvhttps://n2t.net/ark:/57462/001300000f7tr
dc.identifier.urihttps://repository.ufrpe.br/handle/123456789/4105
dc.language.isopor
dc.publisher.countryBrasil
dc.rightsopenAccess
dc.rights.licenseAtribuição-SemDerivações 4.0 Internacional (CC BY-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nd/4.0/deed.pt_BR
dc.subjectSaúde pública
dc.subjectCOVID-19, Pandemia de
dc.subjectSistema Único de Saúde (Brasil)
dc.subjectEmoções
dc.subjectRedes sociais on-line
dc.titleSentiment analysis of tweets related to SUS before and during COVID-19 pandemic
dc.typebachelorThesis

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TCC - Bacharelado em Ciência da Computação (Sede)