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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationCommunication and Applied Technologies - Proceedings of ICOMTA 2022
EditorsPaulo Carlos López-López, Ángel Torres-Toukoumidis, Andrea De-Santis, Óscar Avilés, Daniel Barredo
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9789811963469
StatePublished - 2023
EventInternational Conference on Communication and Applied Technologies, ICOMTA 2022 - Cuenca, Ecuador
Duration: 7 Sep 20229 Sep 2022

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


ConferenceInternational Conference on Communication and Applied Technologies, ICOMTA 2022

Bibliographical note

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


  • Feminism
  • Lyrics
  • Python
  • Reggaeton
  • Semantic analysis


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