Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton

Angel Torres-Toukoumidis; Cristian Orlando Coronel Quezada; Jenny Pontón; Isidro Marín-Gutiérrez

doi:10.1007/978-981-19-6347-6_47

Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton

Angel Torres-Toukoumidis, Cristian Orlando Coronel Quezada, Jenny Pontón, Isidro Marín-Gutiérrez

Game Lab-Ups Research Group (GAME LAB-UPS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The following research focuses on the analysis of the computational analysis of songs from female reggaeton artists. For this purpose, 641 songs from 12 singers were reviewed, the information obtained was extracted using a Python script with Selenium library, thus allowing access to the compilation of the lyrics, then to establish patterns and similarities, the R software was applied, complemented with the Voyant Tools tool. The results show that the songs interpreted by women contain an abundant lexicon, which in turn is augmented with anglicisms that make their legibility difficult. At the same time, the positioning of women in a dominant, decisive and outstanding role with respect to the actions involved in the typicality of urban-Caribbean music is demonstrated. In conclusion, women as singers in reggaeton have managed to take over a space homogenized by patriarchy, thus fostering a diversification of the musical entertainment industry with other profiles, identities and lyrics, thus building a diversification of this subculture.

Original language	English
Title of host publication	Communication and Applied Technologies - Proceedings of ICOMTA 2022
Editors	Paulo Carlos López-López, Ángel Torres-Toukoumidis, Andrea De-Santis, Óscar Avilés, Daniel Barredo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	527-535
Number of pages	9
ISBN (Print)	9789811963469
DOIs	https://doi.org/10.1007/978-981-19-6347-6_47
State	Published - 2023
Event	International Conference on Communication and Applied Technologies, ICOMTA 2022 - Cuenca, Ecuador Duration: 7 Sep 2022 → 9 Sep 2022

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	318
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	International Conference on Communication and Applied Technologies, ICOMTA 2022
Country/Territory	Ecuador
City	Cuenca
Period	7/09/22 → 9/09/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Feminism
Lyrics
Python
Reggaeton
Semantic analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-19-6347-6_47

Cite this

Torres-Toukoumidis, A., Quezada, C. O. C., Pontón, J., & Marín-Gutiérrez, I. (2023). Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton. In P. C. López-López, Á. Torres-Toukoumidis, A. De-Santis, Ó. Avilés, & D. Barredo (Eds.), Communication and Applied Technologies - Proceedings of ICOMTA 2022 (pp. 527-535). (Smart Innovation, Systems and Technologies; Vol. 318). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6347-6_47

Torres-Toukoumidis, Angel ; Quezada, Cristian Orlando Coronel ; Pontón, Jenny et al. / Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton. Communication and Applied Technologies - Proceedings of ICOMTA 2022. editor / Paulo Carlos López-López ; Ángel Torres-Toukoumidis ; Andrea De-Santis ; Óscar Avilés ; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. pp. 527-535 (Smart Innovation, Systems and Technologies).

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title = "Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton",

abstract = "The following research focuses on the analysis of the computational analysis of songs from female reggaeton artists. For this purpose, 641 songs from 12 singers were reviewed, the information obtained was extracted using a Python script with Selenium library, thus allowing access to the compilation of the lyrics, then to establish patterns and similarities, the R software was applied, complemented with the Voyant Tools tool. The results show that the songs interpreted by women contain an abundant lexicon, which in turn is augmented with anglicisms that make their legibility difficult. At the same time, the positioning of women in a dominant, decisive and outstanding role with respect to the actions involved in the typicality of urban-Caribbean music is demonstrated. In conclusion, women as singers in reggaeton have managed to take over a space homogenized by patriarchy, thus fostering a diversification of the musical entertainment industry with other profiles, identities and lyrics, thus building a diversification of this subculture.",

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Torres-Toukoumidis, A, Quezada, COC, Pontón, J & Marín-Gutiérrez, I 2023, Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton. in PC López-López, Á Torres-Toukoumidis, A De-Santis, Ó Avilés & D Barredo (eds), Communication and Applied Technologies - Proceedings of ICOMTA 2022. Smart Innovation, Systems and Technologies, vol. 318, Springer Science and Business Media Deutschland GmbH, pp. 527-535, International Conference on Communication and Applied Technologies, ICOMTA 2022, Cuenca, Ecuador, 7/09/22. https://doi.org/10.1007/978-981-19-6347-6_47

Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton. / Torres-Toukoumidis, Angel; Quezada, Cristian Orlando Coronel; Pontón, Jenny et al.
Communication and Applied Technologies - Proceedings of ICOMTA 2022. ed. / Paulo Carlos López-López; Ángel Torres-Toukoumidis; Andrea De-Santis; Óscar Avilés; Daniel Barredo. Springer Science and Business Media Deutschland GmbH, 2023. p. 527-535 (Smart Innovation, Systems and Technologies; Vol. 318).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Quezada, Cristian Orlando Coronel

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N2 - The following research focuses on the analysis of the computational analysis of songs from female reggaeton artists. For this purpose, 641 songs from 12 singers were reviewed, the information obtained was extracted using a Python script with Selenium library, thus allowing access to the compilation of the lyrics, then to establish patterns and similarities, the R software was applied, complemented with the Voyant Tools tool. The results show that the songs interpreted by women contain an abundant lexicon, which in turn is augmented with anglicisms that make their legibility difficult. At the same time, the positioning of women in a dominant, decisive and outstanding role with respect to the actions involved in the typicality of urban-Caribbean music is demonstrated. In conclusion, women as singers in reggaeton have managed to take over a space homogenized by patriarchy, thus fostering a diversification of the musical entertainment industry with other profiles, identities and lyrics, thus building a diversification of this subculture.

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Torres-Toukoumidis A, Quezada COC, Pontón J, Marín-Gutiérrez I. Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton. In López-López PC, Torres-Toukoumidis Á, De-Santis A, Avilés Ó, Barredo D, editors, Communication and Applied Technologies - Proceedings of ICOMTA 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 527-535. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-19-6347-6_47

Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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