Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach

Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach

The plague of cyberbullying on social media exerts a dangerous influence on human lives. Due to the fact that online social networks continue to daily expand, the proliferation of hate speech is also growing. Consequentially, distressing content is often implicated in the onset of depression and sui...

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Bibliographic Details
Main Authors: Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, Pablo García Bringas
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Future Internet
Subjects:
cyber-bullying
deep learning
neural networks
natural language processing
Online Access:https://www.mdpi.com/1999-5903/17/2/84
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