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This github repository is the code for the paper: X. Guo, U. Anjum, and J. Zhan, “Cyberbully Detection Using BERT with Augmented Texts,” in 2022 IEEE International Conference on Big Data (Big Data), Dec. 2022, pp. 1246–1253. doi: 10.1109/BigData55660.2022.10020581.

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Due to the size limit of GitHub, the code and all the datasets used can be found at (https://osf.io/9w7ks/?view_only=c96e5611809845568b8c0d81acdb2b46)

Requirements:

  • Python 3.6

  • Tensorflow r1.0.1

  • CUDA 7.5+

All the defult parameters are listed in 'train.py' inside the SeqGAN folder. To train SeqGAN, run

' $ python train.py '

The generated data should appear inside the 'save' folder, which can be used to further fine-tune HateBERT.

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This github repository is the code for the paper: X. Guo, U. Anjum, and J. Zhan, “Cyberbully Detection Using BERT with Augmented Texts,” in 2022 IEEE International Conference on Big Data (Big Data), Dec. 2022, pp. 1246–1253. doi: 10.1109/BigData55660.2022.10020581.

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