Natural Language Processing Algorithm for the Classification of Criminal Messages

Authors

  • Kevin Christian Argomedo Pflücker
  • Yenny Milagritos Sifuen- tes Diaz
  • Luis Santiago García Merino
  • Jorge Luis Gutiérrez Gutiérrez

DOI:

https://doi.org/10.59670/ml.v20iS8.4679

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the Natural Language Processing Algorithm variable. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017–2022 by Latin American institutions, achieving the identification of 539 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Brazil with 223 publications with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material related to the study  of the Natural Language Processing Algorithm was Computer Science  with 450 published documents, and the most used Publication Type during the period indicated above were Conference Articles with 57% of the total scientific production.

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Published

2023-11-04

How to Cite

Kevin Christian Argomedo Pflücker, Yenny Milagritos Sifuen- tes Diaz, Luis Santiago García Merino, & Jorge Luis Gutiérrez Gutiérrez. (2023). Natural Language Processing Algorithm for the Classification of Criminal Messages . Migration Letters, 20(S8), 1145–1155. https://doi.org/10.59670/ml.v20iS8.4679

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Section

Articles