Fonte: Proceedings. Nome do evento: International Computer Symposium - ICS. Unidade: ICMC
Assuntos: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, PROCESSAMENTO DE LINGUAGEM NATURAL, MÍDIAS SOCIAIS, SURTOS DE DOENÇAS, SAÚDE PÚBLICA, COVID-19, CORONAVIRUS
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: 03 set. 2024.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/ICS51289.2020.00056NLM
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 2024 set. 03 ] Available from: https://doi.org/10.1109/ICS51289.2020.00056Vancouver
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 2024 set. 03 ] Available from: https://doi.org/10.1109/ICS51289.2020.00056