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

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Podrobná bibliografie
Název:	Topic Labels of 'Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique'
Autoři:	Guillén-Pacho, Ibai, orcid:0000-0001-7801-
Přispěvatelé:	Badenes-Olmedo, Carlos, Corcho, Oscar
Informace o vydavateli:	Zenodo
Rok vydání:	2024
Sbírka:	Zenodo
Témata:	Topic Labels, Dynamic Topic Labels
Popis:	These are the labels generated with the method proposed in the article "Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique". These labels are for the 100 and 200 DTM topic models, trained both with the whole corpus and with only the COVID-19 period data For the generation of these labels you can go to the original published work or to the linked Zenodo resource.
Druh dokumentu:	dataset
Jazyk:	English
ISSN:	2364-4168
Relation:	https://zenodo.org/records/12752032; oai:zenodo.org:12752032; https://doi.org/10.5281/zenodo.12752032
DOI:	10.5281/zenodo.12752032
Dostupnost:	https://doi.org/10.5281/zenodo.12752032 https://zenodo.org/records/12752032
Rights:	Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Přístupové číslo:	edsbas.788CDBD1
Databáze:	BASE

Popis
Abstrakt:	These are the labels generated with the method proposed in the article "Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique". These labels are for the 100 and 200 DTM topic models, trained both with the whole corpus and with only the COVID-19 period data For the generation of these labels you can go to the original published work or to the linked Zenodo resource.
ISSN:	23644168
DOI:	10.5281/zenodo.12752032