Autores
García Vázquez Omar
Alcántara Medina Tania Gisela
Calvo Castro Francisco Hiram
Sidorov Grigori
Título LLM’s for Spanish Song Text Analysis and Classification Using Language Variants
Tipo Congreso
Sub-tipo Memoria
Descripción 22nd Mexican International Conference on Artificial Intelligence, MICAI 2023
Resumen Feelings are the affective state of mind, which are produced in the brain and are caused by an emotion. This feelings have been transferred in multiple ways, such as texts, paintings music. Music transmits different emotions, which makes it even more important to know what kind of feelings are found within a song, which can be, among many others, positive, negative or neutral. Through this work, the texts of two different datasets of songs in the Spanish language were analyzed and classified, this through BERT, RoBERTa and DistilBERT. These experiments showed an improvement compared with previous works and improvement with the use of these methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Observaciones DOI 10.1007/978-3-031-47640-2_10 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 14392
Lugar Yucatán
País Mexico
No. de páginas 118-127
Vol. / Cap. v. 14392 LNAI
Inicio 2023-11-13
Fin 2023-11-18
ISBN/ISSN 9783031476396