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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/156750
Ver los metadatos del registro completo
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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:UNLP2025-09-29T11:40:46Zoai: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:13292025-09-29 11:40:47.043SEDICI (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 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://sedici.unlp.edu.ar/handle/10915/156750 |
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eng |
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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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) |
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