Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter

OBJECTIVES: This study analyzed the perceptions and emotions of Korean and Japanese citizens regarding coronavirus disease 2019 (COVID-19). It examined the frequency of words used in Korean and Japanese tweets regarding COVID-19 and the corresponding changes in their interests. METHODS: This cross-s...

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Detalles Bibliográficos
Autores principales: Lee, Hocheol, Noh, Eun Bi, Choi, Sea Hwan, Zhao, Bo, Nam, Eun Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674818/
https://www.ncbi.nlm.nih.gov/pubmed/33190468
http://dx.doi.org/10.4258/hir.2020.26.4.335

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674818/
https://www.ncbi.nlm.nih.gov/pubmed/33190468
http://dx.doi.org/10.4258/hir.2020.26.4.335

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