Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis

AIM: This study explored the influence of daily new case videos posted by public health agencies (PHAs) on TikTok in the context of COVID-19 normalization, as well as public sentiment and concerns. Five different stages were used, based on the Crisis and Emergency Risk Communication model, amidst th...

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Detalles Bibliográficos
Autores principales: Che, ShaoPeng, Wang, Xiaoke, Zhang, Shunan, Kim, Jang Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888751/
https://www.ncbi.nlm.nih.gov/pubmed/36744108
http://dx.doi.org/10.1007/s10389-023-01833-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888751/
https://www.ncbi.nlm.nih.gov/pubmed/36744108
http://dx.doi.org/10.1007/s10389-023-01833-4

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