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Dataset Construction for the Detection of Anti-Social Behaviour in Online Communication in Arabic

  • Published:2018 Issue: Volume:142 Page:174-181
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Alakrot Azalden,Murray Liam,Nikolov Nikola S.

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Detection of abusive accounts with Arabic tweets;Abozinadah;Int. J. Knowl. Eng.-IACSIT,2015

2. Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network;Al-garadi;Computers in Human Behavior,2016

3. Classification with class imbalance problem: a review;Ali;Int. J. Advance Soft Compu. Appl,2015

4. Experts and machines united against cyberbullying;Dadvar,2014

5. Huang, Q., Singh, V.K., Atrey, P.K., 2014. Cyber bullying detection using social and textual analysis, in: Proceedings of the 3rd International Workshop on Socially-Aware Multimedia, ACM. pp. 3–6.

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2. Offensive Language Detection of Arabic Tweets Using Deep Learning Algorithm;2024 15th International Conference on Information and Communication Systems (ICICS);2024-08-13

3. Abusive and Hate speech Classification in Arabic Text Using Pre-trained Language Models and Data Augmentation;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-03

4. Arabic cyberbullying detection system using convolutional neural network and multi-head attention;International Journal of Speech Technology;2024-07-06

5. Automatic hate speech detection in audio using machine learning algorithms;International Journal of Speech Technology;2024-06
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