Detection of Cyberbullying Using Bernoulli Restricted Boltzmann Machine and Multilayer Perceptron Neural Networks

Authors

DOI:

https://doi.org/10.61467/2007.1558.2025.v16i4.589

Keywords:

deep learning, cyberbullying, Boltzmann

Abstract

This paper introduces a model that detects harassment cases across different social media platforms using natural language processing and deep learning. Therefore, this model forms part of a system that can identify this problem in various texts.

 

Smart citations: https://scite.ai/reports/10.61467/2007.1558.2025.v16i4.589

Downloads

Published

2025-10-12

How to Cite

Lezama Sánchez, A. L., & Tovar Vidal, M. (2025). Detection of Cyberbullying Using Bernoulli Restricted Boltzmann Machine and Multilayer Perceptron Neural Networks. International Journal of Combinatorial Optimization Problems and Informatics, 16(4), 497–504. https://doi.org/10.61467/2007.1558.2025.v16i4.589

Issue

Vol. 16 No. 4 (2025)

Section

Ontologies and Knowledge Graphs

License

Copyright (c) 2025 International Journal of Combinatorial Optimization Problems and Informatics

Creative Commons License

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

Most read articles by the same author(s)