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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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書目詳細資料
發表在:J Inf Sci
Main Authors: Cheng, Xian, Cao, Qiang, Liao, Stephen Shaoyi
格式: Artigo
語言:Inglês
出版: SAGE Publications 2022
主題:
在線閱讀: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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