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)

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

1 Scopus citations

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) - EC, Cuenca, Ecuador Duration: 7 Sep 2022 → 9 Sep 2022 https://icomta.net/

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	318

Conference

Conference	International Conference on Communication and Applied Technologies (ICOMTA 2022)
Country/Territory	Ecuador
City	Cuenca
Period	7/09/22 → 9/09/22
Internet address	https://icomta.net/

Bibliographical note

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

UN SDGs

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

SDG 5 Gender Equality

Keywords

Feminism
Lyrics
Python
Reggaeton
Semantic analysis

CACES Knowledge Areas

413A Social and Cultural Studies
123A Journalism and Communication

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).

@inproceedings{1aab968ce29743da99c3344ecd89485e,

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.",

keywords = "Feminism, Lyrics, Python, Reggaeton, Semantic analysis",

author = "Angel Torres-Toukoumidis and Quezada, \{Cristian Orlando Coronel\} and Jenny Pont{\'o}n and Isidro Mar{\'i}n-Guti{\'e}rrez",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 2022 International Conference on Communication and Applied Technologies ICOMTA 2022 ; Conference date: 07-09-2022 Through 09-09-2022",

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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

TY - GEN

T1 - Computational Analysis of Latin Music Songs Through Tokenization. Case of Female Artists and Reggaeton

AU - Torres-Toukoumidis, Angel

AU - Quezada, Cristian Orlando Coronel

AU - Pontón, Jenny

AU - Marín-Gutiérrez, Isidro

PY - 2023

Y1 - 2023

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.

AB - 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.

KW - Feminism

KW - Lyrics

KW - Python

KW - Reggaeton

KW - Semantic analysis

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AN - SCOPUS:85144232534

SN - 9789811963469

T3 - Smart Innovation, Systems and Technologies

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EP - 535

BT - Communication and Applied Technologies - Proceedings of ICOMTA 2022

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A2 - Torres-Toukoumidis, Ángel

A2 - De-Santis, Andrea

A2 - Avilés, Óscar

A2 - Barredo, Daniel

PB - Springer Science and Business Media Deutschland GmbH

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ER -

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

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

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Cite this