Analysis of Covid-19 impact in Mexico City using text mining and Twitter (2020)
Fonte: Proceddings. Nome do evento: International Conference of Digital Transformation and Innovation Technology - Incodtrin. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, CORONAVIRUS, COVID-19, MÍDIAS SOCIAIS
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: 02 nov. 2024.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/Incodtrin51881.2020.00018NLM
Saire JEC, Pineda-Briseño A. Analysis of Covid-19 impact in Mexico City using text mining and Twitter [Internet]. Proceddings. 2020 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00018Vancouver
Saire JEC, Pineda-Briseño A. Analysis of Covid-19 impact in Mexico City using text mining and Twitter [Internet]. Proceddings. 2020 ;[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00018