Výsledky vyhledávání - "Dynamic Topic Labelling"

Dynamic Topic Models of 'Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique'

Autoři: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Přispěvatelé: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Témata: Topic Models, Dynamic Topic Models, Dynamic Topic Labelling, Topic Labelling

Relation: https://zenodo.org/records/12750327; oai:zenodo.org:12750327; https://doi.org/10.5281/zenodo.12750327

Dostupnost: https://doi.org/10.5281/zenodo.12750327
https://zenodo.org/records/12750327

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

Autoři: Guillén Pacho, Ibai Badenes Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science and Analytics, ISSN 2364-415X, 2024-08-13

Témata: Informática, Medicina, info:eu-repo/semantics/article, info:eu-repo/semantics/acceptedVersion

URL: https://oa.upm.es/88044/
https://link.springer.com/article/10.1007/s41060-024-00610-0
https://link.springer.com/article/10.1007/s41060-024-00610-0
info:eu-repo/grantAgreement/CAM//PIPF-2022%2FCOM-25947
info:eu-repo/semantics/altIdentifier/doi/10.1007/s41060-024-00610-0

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique.

Autoři: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science & Analytics; Sep2025, Vol. 20 Issue 3, p2551-2581, 31p

Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique

Autoři: Guillén Pacho, Ibai Badenes Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science and Analytics, ISSN 2364-415X, 2024-08-13
Archivo Digital UPM
Universidad Politécnica de Madrid

Témata: CORD-1, Informática, Coronaviruses, Medicina, Labeling techniques, topic modeling, COVID-19, Labelings, Dynamic topic models, Topic labelling, CORD-19, Tim, Stem-Cell Transplantation, Scientific Literature, 3. Good health, Coronavirus, 03 medical and health sciences, Topic labeling, 0302 clinical medicine, Topic interpretability, Dynamic topic model, Interpretability

Popis souboru: application/pdf

Přístupová URL adresa: https://oa.upm.es/88044/

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

Autoři: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar a další

Přispěvatelé: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar a další

Zdroj: International Journal of Data Science and Analytics ; volume 20, issue 3, page 2551-2581 ; ISSN 2364-415X 2364-4168

Dostupnost: https://doi.org/10.1007/s41060-024-00610-0
https://link.springer.com/content/pdf/10.1007/s41060-024-00610-0.pdf
https://link.springer.com/article/10.1007/s41060-024-00610-0/fulltext.html