Thakuria, AbhijitBezbaruah, ParimitaDeka, Dipen2024-10-032024-10-032024-09-19978-93-81232-13-2http://ir.inflibnet.ac.in/handle/1944/248612th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024The 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.enOpen Access,Topic Modeling,LDA,JournalsArticle