Analysis of Covid-19 impact in Mexico City using text mining and Twitter (2020)
- Authors:
- Autor USP: SAIRE, JOSIMAR EDINSON CHIRE - ICMC
- Unidade: ICMC
- DOI: 10.1109/Incodtrin51881.2020.00018
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; CORONAVIRUS; COVID-19; MÍDIAS SOCIAIS
- Keywords: Text Mining; People behaviour; Twitter; Infoveillance
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2020
- Source:
- Título: Proceddings
- Conference titles: International Conference of Digital Transformation and Innovation Technology - Incodtrin
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SAIRE, Josimar Edinson Chire e PINEDA-BRISEÑO, Anabel. Analysis of Covid-19 impact in Mexico City using text mining and Twitter. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/Incodtrin51881.2020.00018. Acesso em: 08 jan. 2026. -
APA
Saire, J. E. C., & Pineda-Briseño, A. (2020). Analysis of Covid-19 impact in Mexico City using text mining and Twitter. In Proceddings. Los Alamitos: IEEE. doi:10.1109/Incodtrin51881.2020.00018 -
NLM
Saire JEC, Pineda-Briseño A. Analysis of Covid-19 impact in Mexico City using text mining and Twitter [Internet]. Proceddings. 2020 ;[citado 2026 jan. 08 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00018 -
Vancouver
Saire JEC, Pineda-Briseño A. Analysis of Covid-19 impact in Mexico City using text mining and Twitter [Internet]. Proceddings. 2020 ;[citado 2026 jan. 08 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00018 - Covid-19 surveillance in Peru on april using a social network and text mining
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Informações sobre o DOI: 10.1109/Incodtrin51881.2020.00018 (Fonte: oaDOI API)
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