Source: IEEE Access. Unidade: EP
Subjects: MEIOS DE COMUNICAÇÃO, MEIOS DE COMUNICAÇÃO DE MASSA, REDES SOCIAIS, BLOGS, PANDEMIAS
ABNT
OLIVEIRA, Francisco Braulio et al. Investigating the emotional response to COVID-19 news on Twitter: a topic modeling and emotion classification approac. IEEE Access, p. 16883-16897, 2022Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2022.3150329. Acesso em: 17 nov. 2024.APA
Oliveira, F. B., Haque, A., Mougouei, D., Evans, S., Singh, M. P., & Sichman, J. S. (2022). Investigating the emotional response to COVID-19 news on Twitter: a topic modeling and emotion classification approac. IEEE Access, 16883-16897. doi:10.1109/ACCESS.2022.3150329NLM
Oliveira FB, Haque A, Mougouei D, Evans S, Singh MP, Sichman JS. Investigating the emotional response to COVID-19 news on Twitter: a topic modeling and emotion classification approac [Internet]. IEEE Access. 2022 ; 16883-16897.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2022.3150329Vancouver
Oliveira FB, Haque A, Mougouei D, Evans S, Singh MP, Sichman JS. Investigating the emotional response to COVID-19 news on Twitter: a topic modeling and emotion classification approac [Internet]. IEEE Access. 2022 ; 16883-16897.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/ACCESS.2022.3150329