Please use this identifier to cite or link to this item:
http://ir.inflibnet.ac.in/handle/1944/2486
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Thakuria, Abhijit | - |
dc.contributor.author | Bezbaruah, Parimita | - |
dc.contributor.author | Deka, Dipen | - |
dc.date.accessioned | 2024-10-03T07:15:30Z | - |
dc.date.available | 2024-10-03T07:15:30Z | - |
dc.date.issued | 2024-09-19 | - |
dc.identifier.isbn | 978-93-81232-13-2 | - |
dc.identifier.uri | http://ir.inflibnet.ac.in/handle/1944/2486 | - |
dc.description | 12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024 | en_US |
dc.description.abstract | The 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.iso | en | en_US |
dc.publisher | INFLIBNET Centre Gandhinagar | en_US |
dc.subject | Open Access, | en_US |
dc.subject | Topic Modeling, | en_US |
dc.subject | LDA, | en_US |
dc.subject | Journals | en_US |
dc.title | A Topic Modeling Study on Contemporary Latent Topics and Current Trends in Open Access LIS Journals listed in DOAJ | en_US |
dc.type | Article | en_US |
Appears in Collections: | PLANNER 2024 Arunachal Pradesh |
Files in This Item:
File | Description | Size | Format | |
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20.pdf | 325.17 kB | Adobe PDF | View/Open | |
20-ppt.pdf | 37.92 MB | Adobe PDF | View/Open |
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