Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | por |
Título da fonte: | Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) |
Texto Completo: | https://repository.ufrpe.br/handle/123456789/4105 |
Resumo: | The 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. |
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Sentiment analysis of tweets related to SUS before and during COVID-19 pandemicSaúde públicaCOVID-19, Pandemia de,Sistema Único de Saúde (SUS)EmoçõesRedes sociais on-lineThe 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.BrasilAndrade, Ermeson Carneiro deAraújo, Danilo Ricardo Barbosa dehttp://lattes.cnpq.br/9810796504568932http://lattes.cnpq.br/2466077615273972Dantas, Jamilson Ramalhohttp://lattes.cnpq.br/5655706091153128Silva, Henrique Farias Pereira da2023-03-09T18:19:07Z2023-03-09T18:19:07Z2021-02-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis8 f.application/pdfSILVA, 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.https://repository.ufrpe.br/handle/123456789/4105porAtribuição-SemDerivações 4.0 Internacional (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/deed.pt_BRopenAccessinfo:eu-repo/semantics/openAccessreponame:Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE)instname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPE2023-03-09T18:19:10Zoai:dspace:123456789/4105Repositório InstitucionalPUBhttps://repository.ufrpe.br/oai/requestrepositorio.sib@ufrpe.bropendoar:https://v2.sherpa.ac.uk/id/repository/106122023-03-09T18:19:10Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.none.fl_str_mv |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
title |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
spellingShingle |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic Silva, Henrique Farias Pereira da Saúde pública COVID-19, Pandemia de, Sistema Único de Saúde (SUS) Emoções Redes sociais on-line |
title_short |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
title_full |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
title_fullStr |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
title_full_unstemmed |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
title_sort |
Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic |
author |
Silva, Henrique Farias Pereira da |
author_facet |
Silva, Henrique Farias Pereira da |
author_role |
author |
dc.contributor.none.fl_str_mv |
Andrade, Ermeson Carneiro de Araújo, Danilo Ricardo Barbosa de http://lattes.cnpq.br/9810796504568932 http://lattes.cnpq.br/2466077615273972 Dantas, Jamilson Ramalho http://lattes.cnpq.br/5655706091153128 |
dc.contributor.author.fl_str_mv |
Silva, Henrique Farias Pereira da |
dc.subject.por.fl_str_mv |
Saúde pública COVID-19, Pandemia de, Sistema Único de Saúde (SUS) Emoções Redes sociais on-line |
topic |
Saúde pública COVID-19, Pandemia de, Sistema Único de Saúde (SUS) Emoções Redes sociais on-line |
description |
The 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-19 2023-03-09T18:19:07Z 2023-03-09T18:19:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
bachelorThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SILVA, 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. https://repository.ufrpe.br/handle/123456789/4105 |
identifier_str_mv |
SILVA, 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. |
url |
https://repository.ufrpe.br/handle/123456789/4105 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Atribuição-SemDerivações 4.0 Internacional (CC BY-ND 4.0) https://creativecommons.org/licenses/by-nd/4.0/deed.pt_BR openAccess info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribuição-SemDerivações 4.0 Internacional (CC BY-ND 4.0) https://creativecommons.org/licenses/by-nd/4.0/deed.pt_BR openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 f. application/pdf |
dc.publisher.none.fl_str_mv |
Brasil |
publisher.none.fl_str_mv |
Brasil |
dc.source.none.fl_str_mv |
reponame:Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) instname:Universidade Federal Rural de Pernambuco (UFRPE) instacron:UFRPE |
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Universidade Federal Rural de Pernambuco (UFRPE) |
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UFRPE |
institution |
UFRPE |
reponame_str |
Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) |
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Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) |
repository.name.fl_str_mv |
Repositório institucional da Universidade Federal Rural de Pernambuco (UFRPE) (RI-UFRPE) - Universidade Federal Rural de Pernambuco (UFRPE) |
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repositorio.sib@ufrpe.br |
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