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

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 d...

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Detalles Bibliográficos
Autores principales: Rosati, Germán, Domenech, Laia, Chazarreta, Adriana Silvina, Maguire, Tomás
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/114634
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-02.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-114634
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
spellingShingle Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
Rosati, Germán
Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
topic_facet Ciencias Informáticas
NLP
News comments
COVID-19
Social representations
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.
format Objeto de conferencia
Objeto de conferencia
author Rosati, Germán
Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
author_facet Rosati, Germán
Domenech, Laia
Chazarreta, Adriana Silvina
Maguire, Tomás
author_sort Rosati, Germán
title Capturing and analyzing social representations: a first application of Natural Language Processing techniques to reader’s comments in COVID-19 news : Argentina, 2020
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
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/114634
http://49jaiio.sadio.org.ar/pdfs/agranda/AGRANDA-02.pdf
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