Investigating the emotional response to COVID-19 news on Twitter: a topic modeling and emotion classification approac (2022)
- Authors:
- Autor USP: SICHMAN, JAIME SIMÃO - EP
- Unidade: EP
- DOI: 10.1109/ACCESS.2022.3150329
- Subjects: MEIOS DE COMUNICAÇÃO; MEIOS DE COMUNICAÇÃO DE MASSA; REDES SOCIAIS; BLOGS; PANDEMIAS
- Language: Inglês
- Source:
- Título do periódico: IEEE Access
- Volume/Número/Paginação/Ano: v, 10, p.16883-16897, 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 12 jun. 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.2022.3150329 -
NLM
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 jun. 12 ] Available from: https://doi.org/10.1109/ACCESS.2022.3150329 -
Vancouver
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 jun. 12 ] Available from: https://doi.org/10.1109/ACCESS.2022.3150329 - Modeling organization in MAS: a comparison of models
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Informações sobre o DOI: 10.1109/ACCESS.2022.3150329 (Fonte: oaDOI API)
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