Text mining for Covid-19 analysis in Latin America (2021)
- Authors:
- Autor USP: SAIRE, JOSIMAR EDINSON CHIRE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-69744-0_16
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; COVID-19
- Language: Inglês
- Imprenta:
- Source:
- Título: Artificial intelligence for COVID-19
- ISSN: 2198-4182
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SAIRE, Josimar Edinson Chire e PINEDA-BRISEÑO, Anabel. Text mining for Covid-19 analysis in Latin America. Artificial intelligence for COVID-19. Tradução . Cham: Springer, 2021. . Disponível em: https://doi.org/10.1007/978-3-030-69744-0_16. Acesso em: 27 fev. 2026. -
APA
Saire, J. E. C., & Pineda-Briseño, A. (2021). Text mining for Covid-19 analysis in Latin America. In Artificial intelligence for COVID-19. Cham: Springer. doi:10.1007/978-3-030-69744-0_16 -
NLM
Saire JEC, Pineda-Briseño A. Text mining for Covid-19 analysis in Latin America [Internet]. In: Artificial intelligence for COVID-19. Cham: Springer; 2021. [citado 2026 fev. 27 ] Available from: https://doi.org/10.1007/978-3-030-69744-0_16 -
Vancouver
Saire JEC, Pineda-Briseño A. Text mining for Covid-19 analysis in Latin America [Internet]. In: Artificial intelligence for COVID-19. Cham: Springer; 2021. [citado 2026 fev. 27 ] Available from: https://doi.org/10.1007/978-3-030-69744-0_16 - Building dengue sensors for Brazil using a social network and text mining
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Informações sobre o DOI: 10.1007/978-3-030-69744-0_16 (Fonte: oaDOI API)
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