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Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization

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dc.contributor.affiliationDA-IICT, Gandhinagar
dc.contributor.authorPatel, Divya
dc.contributor.authorParikh, Vansh
dc.contributor.authorPatel, Om
dc.contributor.authorShah, Agam
dc.contributor.authorChaudhury, Bhaskar
dc.date.accessioned2025-09-16T10:33:21Z
dc.date.issued12-06-2025
dc.identifier.citationDivya Patel, Vansh Parikh, Om Patel, Agam Shah, and Bhaskar Chaudhury, "Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization," IEEE Transactions on Artificial Intelligence, IEEE, ISSN: 2691-4581, pp. 1-10, 12 Jun. 2025, doi: 10.1109/TAI.2025.3579459.
dc.identifier.doi10.1109/TAI.2025.3579459
dc.identifier.issn2691-4581
dc.identifier.urihttps://ir.daiict.ac.in/handle/dau.ir/2165
dc.language.isoen
dc.publisherIEEE
dc.sourceIEEE Transactions on Artificial Intelligence
dc.source.urihttps://ieeexplore.ieee.org/document/11034686
dc.titleExploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoveryd0ffe8b6-980b-4a74-bb54-7408522e6da7

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