BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER

Bibliographic Details
Main Author: Xavier, Fernando; University of São Paulo
Publication Date: 2023
Other Authors: Amaral, Gustavo Rick; Pontifical Catholic University of São Paulo (PUC-SP), Saraiva, Antonio Mauro; University of São Paulo (USP)
Language: eng
Source: Revista de Sistemas e Computação
Download full: https://revistas.unifacs.br/index.php/rsc/article/view/7903
Summary: The COVID-19 pandemic affected all countries worldwide, causing big changes in people's routines due to public policies for disease spreading control. Among the most impacting measures were social distancing policies and lockdown, leading to an intense discussion by the population. To describe this discussion in Brazil, this research applied data science and natural language methods to analyze posts on Twitter. It processed more than 12.9 million tweets between 2020 and 2021, and the results highlighted the main topics discussed by Brazilian Twitter users, such as the ideological-political component. The approach employed in this research proved to help extract valuable information in massive data mass.DOI: 10.36558/rsc.v12i3.7903
id UNIF-1_598e8e4f1d36d9710d43effc017c99fb
oai_identifier_str oai:ojs.200.223.74.126:article/7903
network_acronym_str UNIF-1
network_name_str Revista de Sistemas e Computação
repository_id_str
spelling BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTERNatural language processing; covid-19; twitter; topic modellingThe COVID-19 pandemic affected all countries worldwide, causing big changes in people's routines due to public policies for disease spreading control. Among the most impacting measures were social distancing policies and lockdown, leading to an intense discussion by the population. To describe this discussion in Brazil, this research applied data science and natural language methods to analyze posts on Twitter. It processed more than 12.9 million tweets between 2020 and 2021, and the results highlighted the main topics discussed by Brazilian Twitter users, such as the ideological-political component. The approach employed in this research proved to help extract valuable information in massive data mass.DOI: 10.36558/rsc.v12i3.7903Revista de Sistemas e Computação - RSCRevistade Sistemas y ComputaciónCAPESXavier, Fernando; University of São PauloAmaral, Gustavo Rick; Pontifical Catholic University of São Paulo (PUC-SP)Saraiva, Antonio Mauro; University of São Paulo (USP)2023-01-06info:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.unifacs.br/index.php/rsc/article/view/790310.36558/rsc.v12i3.7903Revista de Sistemas e Computação - RSC; v. 12, n. 3 (2022)Revistade Sistemas y Computación; v. 12, n. 3 (2022)reponame:Revista de Sistemas e Computaçãoinstname:Universidade Salvador (UNIFACS)instacron:UNIFACSenginfo:eu-repo/semantics/openAccess2023-01-13T12:57:29Zoai:ojs.200.223.74.126:article/7903Revistahttps://revistas.unifacs.br/index.php/rscPRIhttps://revistas.unifacs.br/index.php/rsc/oaipaulo.caetano@unifacs.br || unifacs@nexodoc.com.br2237-29032237-2903opendoar:2023-01-13T12:57:29Revista de Sistemas e Computação - Universidade Salvador (UNIFACS)false
dc.title.none.fl_str_mv BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
title BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
spellingShingle BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
Xavier, Fernando; University of São Paulo
Natural language processing; covid-19; twitter; topic modelling
title_short BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
title_full BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
title_fullStr BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
title_full_unstemmed BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
title_sort BRAZILIAN DISCUSSION ABOUT COVID-19 LOCKDOWN POLICIES ON TWITTER
author Xavier, Fernando; University of São Paulo
author_facet Xavier, Fernando; University of São Paulo
Amaral, Gustavo Rick; Pontifical Catholic University of São Paulo (PUC-SP)
Saraiva, Antonio Mauro; University of São Paulo (USP)
author_role author
author2 Amaral, Gustavo Rick; Pontifical Catholic University of São Paulo (PUC-SP)
Saraiva, Antonio Mauro; University of São Paulo (USP)
author2_role author
author
dc.contributor.none.fl_str_mv CAPES
dc.contributor.author.fl_str_mv Xavier, Fernando; University of São Paulo
Amaral, Gustavo Rick; Pontifical Catholic University of São Paulo (PUC-SP)
Saraiva, Antonio Mauro; University of São Paulo (USP)
dc.subject.por.fl_str_mv Natural language processing; covid-19; twitter; topic modelling
topic Natural language processing; covid-19; twitter; topic modelling
description The COVID-19 pandemic affected all countries worldwide, causing big changes in people's routines due to public policies for disease spreading control. Among the most impacting measures were social distancing policies and lockdown, leading to an intense discussion by the population. To describe this discussion in Brazil, this research applied data science and natural language methods to analyze posts on Twitter. It processed more than 12.9 million tweets between 2020 and 2021, and the results highlighted the main topics discussed by Brazilian Twitter users, such as the ideological-political component. The approach employed in this research proved to help extract valuable information in massive data mass.DOI: 10.36558/rsc.v12i3.7903
publishDate 2023
dc.date.none.fl_str_mv 2023-01-06
dc.type.none.fl_str_mv
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.unifacs.br/index.php/rsc/article/view/7903
10.36558/rsc.v12i3.7903
url https://revistas.unifacs.br/index.php/rsc/article/view/7903
identifier_str_mv 10.36558/rsc.v12i3.7903
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Revista de Sistemas e Computação - RSC
Revistade Sistemas y Computación
publisher.none.fl_str_mv Revista de Sistemas e Computação - RSC
Revistade Sistemas y Computación
dc.source.none.fl_str_mv Revista de Sistemas e Computação - RSC; v. 12, n. 3 (2022)
Revistade Sistemas y Computación; v. 12, n. 3 (2022)
reponame:Revista de Sistemas e Computação
instname:Universidade Salvador (UNIFACS)
instacron:UNIFACS
instname_str Universidade Salvador (UNIFACS)
instacron_str UNIFACS
institution UNIFACS
reponame_str Revista de Sistemas e Computação
collection Revista de Sistemas e Computação
repository.name.fl_str_mv Revista de Sistemas e Computação - Universidade Salvador (UNIFACS)
repository.mail.fl_str_mv paulo.caetano@unifacs.br || unifacs@nexodoc.com.br
_version_ 1833830805423521792

Similar Items