Use este identificador para citar ou linkar para este item: https://repository.ufrpe.br/handle/123456789/4105
Título: Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic
Autor: Silva, Henrique Farias Pereira da
Endereco Lattes do autor: http://lattes.cnpq.br/9810796504568932
Orientador: Andrade, Ermeson Carneiro de
Araújo, Danilo Ricardo Barbosa de
Endereco Lattes do orientador : http://lattes.cnpq.br/2466077615273972
Co-orientador : Dantas, Jamilson Ramalho
Endereço Lattes do Co-orientador : http://lattes.cnpq.br/5655706091153128
Palavras-chave: Saúde pública;COVID-19, Pandemia de;Sistema Único de Saúde (Brasil);Emoções;Redes sociais on-line
Data do documento: 19-Fev-2021
Citação: 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.
Abstract: 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.
URI: https://repository.ufrpe.br/handle/123456789/4105
Aparece nas coleções:TCC - Bacharelado em Ciência da Computação (Sede)

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