A Spanish dataset for Targeted Sentiment Analysis of political headlines

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Subjective texts have been especially studied by several works as they can induce certain behaviours in their users. Most work focuses on user-generated texts in social networks, but some other texts also comprise opinions on  certain topics and could influence judgement criteria during political de...

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Autores principales: Alves Salgueiro, Tomás, Recart Zapata, Emilio, Furman, Damián, Pérez, Juan Manuel, Fernández Larrosa, Pablo Nicolás
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Targeted Sentiment Analysis
polarity dataset
linguistic models
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/151701
https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/269/220
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-151701
record_format dspace
spelling I19-R120-10915-1517012023-05-03T20:02:12Z http://sedici.unlp.edu.ar/handle/10915/151701 https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/269/220 issn:2451-7496 A Spanish dataset for Targeted Sentiment Analysis of political headlines Alves Salgueiro, Tomás Recart Zapata, Emilio Furman, Damián Pérez, Juan Manuel Fernández Larrosa, Pablo Nicolás 2022-10 2022 2023-04-18T18:51:18Z en Ciencias Informáticas Targeted Sentiment Analysis polarity dataset linguistic models Subjective texts have been especially studied by several works as they can induce certain behaviours in their users. Most work focuses on user-generated texts in social networks, but some other texts also comprise opinions on  certain topics and could influence judgement criteria during political decisions. In this work, we address the task of Targeted Sentiment Analysis for the domain of news headlines, published by the main outlets during the 2019 Argentinean Presidential Elections. For this purpose, we present a polarity dataset of 1,976 headlines mentioning candidates in the 2019 elections at the target level. Preliminary experiments with state-of-the-art classification algorithms based on pre-trained linguistic models suggest that target information is helpful for this task. We make our data and pre-trained models publicly available. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 92-97
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
polarity dataset
linguistic models
spellingShingle Ciencias Informáticas
Targeted Sentiment Analysis
polarity dataset
linguistic models
Alves Salgueiro, Tomás
Recart Zapata, Emilio
Furman, Damián
Pérez, Juan Manuel
Fernández Larrosa, Pablo Nicolás
A Spanish dataset for Targeted Sentiment Analysis of political headlines
topic_facet Ciencias Informáticas
Targeted Sentiment Analysis
polarity dataset
linguistic models
description Subjective texts have been especially studied by several works as they can induce certain behaviours in their users. Most work focuses on user-generated texts in social networks, but some other texts also comprise opinions on  certain topics and could influence judgement criteria during political decisions. In this work, we address the task of Targeted Sentiment Analysis for the domain of news headlines, published by the main outlets during the 2019 Argentinean Presidential Elections. For this purpose, we present a polarity dataset of 1,976 headlines mentioning candidates in the 2019 elections at the target level. Preliminary experiments with state-of-the-art classification algorithms based on pre-trained linguistic models suggest that target information is helpful for this task. We make our data and pre-trained models publicly available.
format Objeto de conferencia
Objeto de conferencia
author Alves Salgueiro, Tomás
Recart Zapata, Emilio
Furman, Damián
Pérez, Juan Manuel
Fernández Larrosa, Pablo Nicolás
author_facet Alves Salgueiro, Tomás
Recart Zapata, Emilio
Furman, Damián
Pérez, Juan Manuel
Fernández Larrosa, Pablo Nicolás
author_sort Alves Salgueiro, Tomás
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 2022
url http://sedici.unlp.edu.ar/handle/10915/151701
https://publicaciones.sadio.org.ar/index.php/JAIIO/article/download/269/220
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