#11321. Semantic pattern detection in COVID-19 using contextual clustering and intelligent topic modeling
July 2026 | publication date |
Proposal available till | 02-06-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Communication;
Health (social science); |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Using contextual clustering and intelligent topic modeling for semantic pattern detection, this study identified knowledge gaps in the area of COVID-19 research and offered directions for future research.
Keywords:
Latent semantic analysis; Mutual information; Point wise; Vector space model
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