An approach for the analysis of news during COVID-19 in the Chubut province

Autores
Toledo Margalef, Pablo; Balcazar, Emanuel; Ordinez, Leonardo; Delrieux, Claudio; Allende, Lucila
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results.
Facultad de Informática
Materia
Ciencias Informáticas
LDA
COVID-19
Media
News
NLP
Scraping
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125148
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/125148
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling An approach for the analysis of news during COVID-19 in the Chubut provinceToledo Margalef, PabloBalcazar, EmanuelOrdinez, LeonardoDelrieux, ClaudioAllende, LucilaCiencias InformáticasLDACOVID-19MediaNewsNLPScrapingThe present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results.Facultad de Informática2021info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf42-46http://sedici.unlp.edu.ar/handle/10915/125148enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4info:eu-repo/semantics/reference/hdl/10915/121564info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:22:01Zoai:sedici.unlp.edu.ar:10915/125148Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:22:01.323SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An approach for the analysis of news during COVID-19 in the Chubut province
title An approach for the analysis of news during COVID-19 in the Chubut province
spellingShingle An approach for the analysis of news during COVID-19 in the Chubut province
Toledo Margalef, Pablo
Ciencias Informáticas
LDA
COVID-19
Media
News
NLP
Scraping
title_short An approach for the analysis of news during COVID-19 in the Chubut province
title_full An approach for the analysis of news during COVID-19 in the Chubut province
title_fullStr An approach for the analysis of news during COVID-19 in the Chubut province
title_full_unstemmed An approach for the analysis of news during COVID-19 in the Chubut province
title_sort An approach for the analysis of news during COVID-19 in the Chubut province
dc.creator.none.fl_str_mv Toledo Margalef, Pablo
Balcazar, Emanuel
Ordinez, Leonardo
Delrieux, Claudio
Allende, Lucila
author Toledo Margalef, Pablo
author_facet Toledo Margalef, Pablo
Balcazar, Emanuel
Ordinez, Leonardo
Delrieux, Claudio
Allende, Lucila
author_role author
author2 Balcazar, Emanuel
Ordinez, Leonardo
Delrieux, Claudio
Allende, Lucila
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
LDA
COVID-19
Media
News
NLP
Scraping
topic Ciencias Informáticas
LDA
COVID-19
Media
News
NLP
Scraping
dc.description.none.fl_txt_mv The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results.
Facultad de Informática
description The present work exposes preliminary results on utilizing web scraping and data mining techniques to analyze news articles published during the COVID-19 pandemic in the Chubut province. Analysis of extracted articles was made using Latent Dirichlet Allocation obtaining promising results.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125148
url http://sedici.unlp.edu.ar/handle/10915/125148
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2016-4
info:eu-repo/semantics/reference/hdl/10915/121564
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
42-46
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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