Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique ; day:13 ; month:8 ; year:2024 ; pages:1-31
International journal of data science and analytics ; (13.8.2024), 1-31
- Classification
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Bibliotheks- und Informationswissenschaft
- Creator
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Guillén-Pacho, Ibai
Badenes-Olmedo, Carlos
Corcho, Oscar
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s41060-024-00610-0
- URN
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urn:nbn:de:101:1-2411010818168.697015455141
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Guillén-Pacho, Ibai
- Badenes-Olmedo, Carlos
- Corcho, Oscar
- SpringerLink (Online service)
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Special Topic: Interball-2: first scientific results
Mining FDA drug labels using an unsupervised learning technique - topic modeling
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Detecting operation regimes using unsupervised clustering with infected group labelling to improve machine diagnostics and prognostics
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