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Hyperparameter Tuned Deep Learning Enabled Cyberbullying Classification in Social Media

  • Published:2022 Issue:3 Volume:73 Page:5011-5024
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Al Duhayyim Mesfer,G. Mohamed Heba,S. Alotaibi Saud,Mahgoub Hany,Mohamed Abdullah,Motwakel Abdelwahed,Sarwar Zamani Abu,I. Eldesouki Mohamed

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference23 articles.

1. Improving cyberbullying detection using twitter users’ psychological features and machine learning;Balakrishnan;Computers & Security,2020

2. A comparative analysis of machine learning techniques for cyberbullying detection on twitter;Muneer;Future Internet,2020

3. Machine learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection;Chia;Information Processing & Management,2021

4. Cyberbullying detection using machine learning;Ali;Pakistan Journal of Engineering and Technology,2020

5. A systematic review of machine learning algorithms in cyberbullying detection: Future directions and challenges;Arif;Journal of Information Security and Cybercrimes Research,2021

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