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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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Bibliographic Details
Title: Topic Labels of 'Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique'
Authors: Guillén-Pacho, Ibai, orcid:0000-0001-7801-
Contributors: Badenes-Olmedo, Carlos, Corcho, Oscar
Publisher Information: Zenodo
Publication Year: 2024
Collection: Zenodo
Subject Terms: Topic Labels, Dynamic Topic Labels
Description: 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.
Document Type: dataset
Language: 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
Availability: 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
Accession Number: edsbas.788CDBD1
Database: BASE
Description
Abstract: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