Identifying fine-grained opinion and classifying polarity on coronavirus pandemic (2020)
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS, PORTUGUÊS DO BRASIL, SURTOS DE DOENÇAS, CORONAVIRUS
ABNT
VARGAS, Francielle Alves e SANTOS, Rodolfo Sanches Saraiva dos e ROCHA, Pedro Regattieri. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_35. Acesso em: 02 nov. 2024. , 2020APA
Vargas, F. A., Santos, R. S. S. dos, & Rocha, P. R. (2020). Identifying fine-grained opinion and classifying polarity on coronavirus pandemic. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61377-8_35NLM
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35Vancouver
Vargas FA, Santos RSS dos, Rocha PR. Identifying fine-grained opinion and classifying polarity on coronavirus pandemic [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12319 511-520.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_35