Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/2486
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dc.contributor.authorThakuria, Abhijit-
dc.contributor.authorBezbaruah, Parimita-
dc.contributor.authorDeka, Dipen-
dc.date.accessioned2024-10-03T07:15:30Z-
dc.date.available2024-10-03T07:15:30Z-
dc.date.issued2024-09-19-
dc.identifier.isbn978-93-81232-13-2-
dc.identifier.urihttp://ir.inflibnet.ac.in/handle/1944/2486-
dc.description12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024en_US
dc.description.abstractThe study employed Latent Dirichlet Allocation (LDA) topic modeling to analyze bibliographic data (Titles, Abstracts, and Keywords) of 1640 articles published during 2019-2023 from Open Access LIS journals listed in the DOAJ platform and indexed in Scopus database. The study utilized R statistical platform and used coherence method to determine optimal number of topics k=8. This analysis unveiled eight latent topics, with Topic 8 'Library Management' emerging as the most prevalent topic with prevalence score of 23.291. Moreover, Topic 6 'Knowledge Management' and Topic 4 'Bibliometrics' were identified as stable and popular topics, with respective Annual Growth Rates (AAGR) of 15.99% and 12.39% in OA LIS literature.en_US
dc.language.isoenen_US
dc.publisherINFLIBNET Centre Gandhinagaren_US
dc.subjectOpen Access,en_US
dc.subjectTopic Modeling,en_US
dc.subjectLDA,en_US
dc.subjectJournalsen_US
dc.titleA Topic Modeling Study on Contemporary Latent Topics and Current Trends in Open Access LIS Journals listed in DOAJen_US
dc.typeArticleen_US
Appears in Collections:PLANNER 2024 Arunachal Pradesh

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