Innovative deep learning techniques for monitoring aggressive behavior in social media posts

Innovative deep learning techniques for monitoring aggressive behavior in social media posts

Abstract The study aims to evaluate and compare the performance of various machine learning (ML) classifiers in the context of detecting cyber-trolling behaviors. With the rising prevalence of online harassment, developing effective automated tools for aggression detection in digital communications...

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Bibliographic Details
Main Authors: Huimin Han, Muhammad Asif, Emad Mahrous Awwad, Nadia Sarhan, Yazeed Yasid Ghadi, Bo Xu
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cyber troll detection
Machine learning
Random forest
LightGBM
Logistic regression
SVM
Online Access:https://doi.org/10.1186/s13677-023-00577-6

Internet

https://doi.org/10.1186/s13677-023-00577-6

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