A spanish dataset for targeted sentiment analysis of political headlines

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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 po...

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Autores principales: Pérez, Juan Manuel, Recart Zapata, Emilio, Alves Salgueiro, Tomás, Furman, Damián, Fernández Larrosa, Pablo Nicolá
Formato: Articulo
Lenguaje:Inglés
Publicado: 2023
Materias:
Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/156750
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-156750
record_format dspace
spelling I19-R120-10915-1567502023-08-23T20:04:36Z http://sedici.unlp.edu.ar/handle/10915/156750 A spanish dataset for targeted sentiment analysis of political headlines Pérez, Juan Manuel Recart Zapata, Emilio Alves Salgueiro, Tomás Furman, Damián Fernández Larrosa, Pablo Nicolá 2023-05 2023-08-23T17:54:10Z en Ciencias Informáticas Targeted Sentiment Analysis language models political headlines 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 Articulo Articulo http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) application/pdf 53-66
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
spellingShingle Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
Pérez, Juan Manuel
Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
A spanish dataset for targeted sentiment analysis of political headlines
topic_facet Ciencias Informáticas
Targeted Sentiment Analysis
language models
political headlines
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.
format Articulo
Articulo
author Pérez, Juan Manuel
Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
author_facet Pérez, Juan Manuel
Recart Zapata, Emilio
Alves Salgueiro, Tomás
Furman, Damián
Fernández Larrosa, Pablo Nicolá
author_sort Pérez, Juan Manuel
title A spanish dataset for targeted sentiment analysis of 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 spanish dataset for targeted sentiment analysis of political headlines
publishDate 2023
url http://sedici.unlp.edu.ar/handle/10915/156750
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