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LLM’s for Spanish Song Text Analysis and Classification Using Language Variants

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Advances in Soft Computing (MICAI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14392))

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Abstract

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.

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Notes

  1. 1.

    Textos de Canciones en Español, to consult or ask for access, contact sidovor@cic.ipn.mx.

  2. 2.

    Song Texts in Mexican Spanish, to consult or access it, write to talcantaram2020@cic.ipn.mx.

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Author information

Authors and Affiliations

  1. Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico

    Omar García-Vázquez, Tania Alcántara, Hiram Calvo & Grigori Sidorov

Authors
  1. Omar García-Vázquez
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  2. Tania Alcántara
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  3. Hiram Calvo
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  4. Grigori Sidorov
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Corresponding author

Correspondence to Tania Alcántara .

Editor information

Editors and Affiliations

  1. Center for Computing Research, Instituto Politécnico Nacional, Ciudad de México, Distrito Federal, Mexico

    Hiram Calvo

  2. Facultad de Ingeniería, Universidad Panamericana, Ciudad de México, Mexico

    Lourdes Martínez-Villaseñor

  3. Facultad de Ingeniería, Universidad Panamericana, Ciudad de México, Mexico

    Hiram Ponce

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García-Vázquez, O., Alcántara, T., Calvo, H., Sidorov, G. (2024). LLM’s for Spanish Song Text Analysis and Classification Using Language Variants. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H. (eds) Advances in Soft Computing. MICAI 2023. Lecture Notes in Computer Science(), vol 14392. Springer, Cham. https://doi.org/10.1007/978-3-031-47640-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-47640-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-47639-6

  • Online ISBN: 978-3-031-47640-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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