Use este identificador para citar ou linkar para este item: https://repository.ufrpe.br/handle/123456789/4105
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dc.contributor.advisorAndrade, Ermeson Carneiro de-
dc.contributor.advisorAraújo, Danilo Ricardo Barbosa de-
dc.contributor.authorSilva, Henrique Farias Pereira da-
dc.date.accessioned2023-03-09T18:19:07Z-
dc.date.available2023-03-09T18:19:07Z-
dc.date.issued2021-02-19-
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.pt_BR
dc.identifier.urihttps://repository.ufrpe.br/handle/123456789/4105-
dc.description.abstractThe 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.pt_BR
dc.format.extent8 f.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.rightsAtribuição-SemDerivações 4.0 Internacional (CC BY-ND 4.0)pt_BR
dc.rightshttps://creativecommons.org/licenses/by-nd/4.0/deed.pt_BRpt_BR
dc.rightsopenAccesspt_BR
dc.rightsopenAccesspt_BR
dc.subjectSaúde públicapt_BR
dc.subjectCOVID-19, Pandemia dept_BR
dc.subjectSistema Único de Saúde (Brasil)pt_BR
dc.subjectEmoçõespt_BR
dc.subjectRedes sociais on-linept_BR
dc.titleSentiment analysis of tweets related to SUS before and during COVID-19 pandemicpt_BR
dc.typebachelorThesispt_BR
dc.contributor.authorLatteshttp://lattes.cnpq.br/9810796504568932pt_BR
dc.contributor.advisorLatteshttp://lattes.cnpq.br/2466077615273972pt_BR
dc.contributor.advisor-coDantas, Jamilson Ramalho-
dc.contributor.advisor-coLatteshttp://lattes.cnpq.br/5655706091153128pt_BR
dc.degree.levelGraduacaopt_BR
dc.publisher.countryBrasilpt_BR
dc.degree.localRecifept_BR
dc.degree.grantorUniversidade Federal Rural de Pernambucopt_BR
dc.degree.graduationBacharelado em Ciência da Computaçãopt_BR
dc.degree.departamentDepartamento de Computaçãopt_BR
Aparece nas coleções:TCC - Bacharelado em Ciência da Computação (Sede)

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