Cyberbullying Detection: An Ensemble Based Machine Learning Approach
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9388249/9388373/09388499.pdf?arnumber=9388499
Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Artificial Intelligence in Detecting and Preventing Online Harassment;Advances in Computational Intelligence and Robotics;2024-01-19
2. An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying;Machine Learning and Knowledge Extraction;2024-01-12
3. A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data;2023 IEEE International Conference on Big Data (BigData);2023-12-15
4. A Graph Based Approach for Cyberbullying Classification Using Machine Learning Algorithms;2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA);2023-11-22
5. Robust multi-domain descriptive text classification leveraging conventional and hybrid deep learning models;International Journal of Information Technology;2023-10-25
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