A decadal study on identifying latent topics and research trends in open access LIS journals using topic modeling approach
Crossref DOI link: https://doi.org/10.1007/s11192-024-05058-4
Published Online: 2024-06-03
Published Print: 2024-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Thakuria, Abhijit https://orcid.org/0000-0002-3852-1982
Deka, Dipen
Text and Data Mining valid from 2024-06-03
Version of Record valid from 2024-06-03
Article History
Received: 11 July 2023
Accepted: 16 May 2024
First Online: 3 June 2024
Declarations
:
: The authors declare that they have no conflict of interest.