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An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation

The unprecedented outbreak of COVID-19 is one of the most serious global threats to public health in this century. During this crisis, specialists in information science could play key roles to support the efforts of scientists in the health and medical community for combatting COVID-19. In this art...

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Detalhes bibliográficos
Publicado no:J Inf Sci
Main Authors: Cheng, Xian, Cao, Qiang, Liao, Stephen Shaoyi
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2022
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7464068/
https://ncbi.nlm.nih.gov/pubmed/38603038
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0165551520954674
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