A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model

被引：0

作者：

Jimenez-Bravo, Diego M. ^{[1
,2
]}

Lozano Murciego, Alvaro ^{[1
]}

Bajo, Javier ^{[3
]}

De La Iglesia, Daniel H. ^{[1
,3
]}

Pinzon, Cristian ^{[4
]}

机构：

[1] Univ Salamanca, Fac Sci, Expert Syst & Applicat Lab, Plaza Caidos S-N, Salamanca 37008, Spain

[2] Univ Politecn Madrid, ETSI Informat, Dept Inteligencia Artificial, Ontol Engn Grp, Madrid 28660, Spain

[3] Pontifical Univ Salamanca, Fac Informat, Salamanca 37002, Spain

[4] Univ Tecnol Panama, Grp Invest ROBOTSiS, Santiago De Veraguas, Panama

来源：

NEW TRENDS IN DISRUPTIVE TECHNOLOGIES, TECH ETHICS AND ARTIFICIAL INTELLIGENCE, DITTET 2022 | 2023年 / 1430卷

关键词：

NLP; Political Twitter; Sentiment analysis; Spanish NLP;

D O I：

10.1007/978-3-031-14859-0_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Society is dominated by the era of data; this data is of great importance as it provides a great variety of information about people and their context. One of the tools that provide great information about users is social networks; therefore, Twitter is one of the most used social networks and has great relevance in the world of politics. Thus, extracting knowledge and creating user profiles can be of great importance for certain sectors. For this reason, in this article, we propose to create the first model for sentiment analysis of political tweets in Spanish that is open to the scientific community. The results shown in the article are promising.

引用

页码：91 / 102

页数：12

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