A spanish dataset for targeted sentiment analysis of political headlines

Autores
Pérez, Juan Manuel; Recart Zapata, Emilio; Alves Salgueiro, Tomás; Furman, Damián; Fernández Larrosa, Pablo Nicolá
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Subjective texts have been extensively studied due to their potential to influence behaviors. While most research has focused on user-generated texts in social networks, other types of texts, such as news headlines expressing opinions on certain topics, can also influence judgment criteria during political decisions. In this paper, we address the task of Targeted Sentiment Analysis for news headlines related to the 2019 Argentinean Presidential Elections, published by major news outlets. To facilitate research in this area, we present a polarity dataset comprising 1,976 headlines that mention candidates at the target level. Our experiments using state-of-the-art classification algorithms based on pre-trained language models demonstrate the usefulness of target information for this task. We also provide public access to our data and models to foster further research.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/156750
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/156750
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A spanish dataset for targeted sentiment analysis of political headlinesPérez, Juan ManuelRecart Zapata, EmilioAlves Salgueiro, TomásFurman, DamiánFernández Larrosa, Pablo NicoláCiencias InformáticasTargeted Sentiment Analysislanguage modelspolitical headlinesSubjective texts have been extensively studied due to their potential to influence behaviors. While most research has focused on user-generated texts in social networks, other types of texts, such as news headlines expressing opinions on certain topics, can also influence judgment criteria during political decisions. In this paper, we address the task of Targeted Sentiment Analysis for news headlines related to the 2019 Argentinean Presidential Elections, published by major news outlets. To facilitate research in this area, we present a polarity dataset comprising 1,976 headlines that mention candidates at the target level. Our experiments using state-of-the-art classification algorithms based on pre-trained language models demonstrate the usefulness of target information for this task. We also provide public access to our data and models to foster further research.Sociedad Argentina de Informática e Investigación Operativa2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf53-66http://sedici.unlp.edu.ar/handle/10915/156750enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/467info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:32:33Zoai:sedici.unlp.edu.ar:10915/156750Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:32:33.738SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A spanish dataset for targeted sentiment analysis of political headlines
title A spanish dataset for targeted sentiment analysis of political headlines
spellingShingle A spanish dataset for targeted sentiment analysis of political headlines
Pérez, Juan Manuel
Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
title_short A spanish dataset for targeted sentiment analysis of political headlines
title_full A spanish dataset for targeted sentiment analysis of political headlines
title_fullStr A spanish dataset for targeted sentiment analysis of political headlines
title_full_unstemmed A spanish dataset for targeted sentiment analysis of political headlines
title_sort A spanish dataset for targeted sentiment analysis of political headlines
dc.creator.none.fl_str_mv Pérez, Juan Manuel
Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
author Pérez, Juan Manuel
author_facet Pérez, Juan Manuel
Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
author_role author
author2 Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
topic Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
dc.description.none.fl_txt_mv Subjective texts have been extensively studied due to their potential to influence behaviors. While most research has focused on user-generated texts in social networks, other types of texts, such as news headlines expressing opinions on certain topics, can also influence judgment criteria during political decisions. In this paper, we address the task of Targeted Sentiment Analysis for news headlines related to the 2019 Argentinean Presidential Elections, published by major news outlets. To facilitate research in this area, we present a polarity dataset comprising 1,976 headlines that mention candidates at the target level. Our experiments using state-of-the-art classification algorithms based on pre-trained language models demonstrate the usefulness of target information for this task. We also provide public access to our data and models to foster further research.
Sociedad Argentina de Informática e Investigación Operativa
description Subjective texts have been extensively studied due to their potential to influence behaviors. While most research has focused on user-generated texts in social networks, other types of texts, such as news headlines expressing opinions on certain topics, can also influence judgment criteria during political decisions. In this paper, we address the task of Targeted Sentiment Analysis for news headlines related to the 2019 Argentinean Presidential Elections, published by major news outlets. To facilitate research in this area, we present a polarity dataset comprising 1,976 headlines that mention candidates at the target level. Our experiments using state-of-the-art classification algorithms based on pre-trained language models demonstrate the usefulness of target information for this task. We also provide public access to our data and models to foster further research.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/156750
url http://sedici.unlp.edu.ar/handle/10915/156750
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/467
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.format.none.fl_str_mv application/pdf
53-66
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
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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