Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

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DOIResolve DOI: https://doi.org/10.1007/s11192-020-03744-7
AuthorSearch for: 1ORCID identifier: https://orcid.org/0000-0002-4542-9105; Search for: 1; Search for: 1; Search for: 1; Search for: 1; Search for:
Name affiliation
  1. National Research Council of Canada. Digital Technologies
FormatText, Article
SubjectCOVID-19 research landscape; topics evolution; machine learning; structural topic modeling; text mining
Publication date
PublisherSpringer Nature
Peer reviewedYes
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Record identifier747ca021-237b-4a40-9d35-856e75f98a19
Record created2020-11-20
Record modified2021-01-26
Date modified: