Bio-inspired algorithms and transfer learning to optimise the extraction of suicide-related patternson twitter

Authors

  • Damian Martinez-Diaz Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author
  • Francisco-Javier Luna-Rosas Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author
  • Julio-Cesar Martínez-Romo Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author
  • Iván Castillo-Zúñiga Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author
  • Marco-Antonio Hernández- Vargas Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author
  • Mario-Alberto Rodríguez-Díaz Tecnológico Nacional De México / Instituto Tecnológico De Aguascalientes (México) Author

DOI:

https://doi.org/10.52152/20anyq22

Keywords:

Sentiment Analysis, Suicide, Social Networks, Machine Learning, Swarm Intelligence, Análisis de sentimiento, Suicidio, Redes Sociales, Máquinas de Aprendizaje, Inteligencia de Enjambres..

Abstract

Artificial Intelligence (AI) has advanced significantly in several subfields, most notably Artificial General Intelligence (AGI). AGI refers to a form of AI capable of performing any intellectual task that a human being can perform, as autonomous humanoid robots would do.

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Published

2024-11-01

Issue

Vol. 99 No. 6 (2024)

Section

Technical Note

License

Copyright (c) 2024 DYNA

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

[1]
2024. Bio-inspired algorithms and transfer learning to optimise the extraction of suicide-related patternson twitter. DYNA. 99, 6 (Nov. 2024). DOI:https://doi.org/10.52152/20anyq22.