Study of coronavirus impact on parisian population from April to June using Twitter and text mining approach (2020)
- Authors:
- Autor USP: SAIRE, JOSIMAR EDINSON CHIRE - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICS51289.2020.00056
- Subjects: MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; MÍDIAS SOCIAIS; SURTOS DE DOENÇAS; SAÚDE PÚBLICA; COVID-19; CORONAVIRUS
- Keywords: Data science; France; Paris; Europe; Sars-cov2; Text Mining; Twitter; People behaviour; Pandemic; Infodemiology; Infoveillance
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International Computer Symposium - ICS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SAIRE, Josimar Edinson Chire e CRUZ, Jimy Frank Oblitas. Study of coronavirus impact on parisian population from April to June using Twitter and text mining approach. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/ICS51289.2020.00056. Acesso em: 28 fev. 2026. -
APA
Saire, J. E. C., & Cruz, J. F. O. (2020). Study of coronavirus impact on parisian population from April to June using Twitter and text mining approach. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICS51289.2020.00056 -
NLM
Saire JEC, Cruz JFO. Study of coronavirus impact on parisian population from April to June using Twitter and text mining approach [Internet]. Proceedings. 2020 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/ICS51289.2020.00056 -
Vancouver
Saire JEC, Cruz JFO. Study of coronavirus impact on parisian population from April to June using Twitter and text mining approach [Internet]. Proceedings. 2020 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/ICS51289.2020.00056 - Building dengue sensors for Brazil using a social network and text mining
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Informações sobre o DOI: 10.1109/ICS51289.2020.00056 (Fonte: oaDOI API)
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