A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model
- Diego M. Jiménez-Bravo
- Álvaro Lozano Murciego
- Javier Bajo
- Daniel H. De La Iglesia
- Cristian Pinzón
- Daniel H. de la Iglesia (ed. lit.)
- Juan F. de Paz Santana (ed. lit.)
- Alfonso J. López Rivero (ed. lit.)
Editorial: Springer International Publishing AG
ISBN: 978-3-031-14858-3
Año de publicación: 2023
Páginas: 91-102
Congreso: DiTTEt: International Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence (2. 2022. Salamanca)
Tipo: Aportación congreso
Resumen
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.