Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020

Autores
Rosati, Germán; Domenech, Laia; Chazarreta, Adriana Silvina; Maguire, Tomás
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocation, and analyze its evolution during time. Finally, we show a first prototype to the prediction of the majority topics, using FastText.
Sociedad Argentina de Informática
Materia
Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/114634
Acceder
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spelling Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020Rosati, GermánDomenech, LaiaChazarreta, Adriana SilvinaMaguire, TomásCiencias InformáticasNLPNews commentsCOVID-19Social representationsWe present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocation, and analyze its evolution during time. Finally, we show a first prototype to the prediction of the majority topics, using FastText.Sociedad Argentina de Informática2020-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf11-19http://sedici.unlp.edu.ar/handle/10915/114634enginfo:eu-repo/semantics/altIdentifier/url/http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-02.pdfinfo:eu-repo/semantics/altIdentifier/issn/2683-8966info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/3.0/Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:18:34Zoai:sedici.unlp.edu.ar:10915/114634Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:18:34.604SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
title Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
spellingShingle Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
Rosati, Germán
Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
title_short Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
title_full Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
title_fullStr Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
title_full_unstemmed Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
title_sort Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
dc.creator.none.fl_str_mv Rosati, Germán
Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
author Rosati, Germán
author_facet Rosati, Germán
Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
author_role author
author2 Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
topic Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
dc.description.none.fl_txt_mv We present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocation, and analyze its evolution during time. Finally, we show a first prototype to the prediction of the majority topics, using FastText.
Sociedad Argentina de Informática
description We present a first approximation to the quantification of social representations about the COVID-19, using news comments. A web crawler was developed to construct the dataset of reader’s comments. We detect relevant topics in the dataset using Latent Dirichlet Allocation, and analyze its evolution during time. Finally, we show a first prototype to the prediction of the majority topics, using FastText.
publishDate 2020
dc.date.none.fl_str_mv 2020-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
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info:eu-repo/semantics/altIdentifier/issn/2683-8966
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.format.none.fl_str_mv application/pdf
11-19
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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