Cyberbullying: A BERT Bi-LSTM Solution for Hate Speech Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40598-3_7
Reference18 articles.
1. Ahammed, S., Rahman, M., Niloy, M.H., Chowdhury, S.M.M.H.: Implementation of machine learning to detect hate speech in Bangla language. In: 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART), pp. 317–320 (2019). https://doi.org/10.1109/SMART46866.2019.9117214
2. Alfina, I., Mulia, R., Fanany, M.I., Ekanata, Y.: Hate speech detection in the Indonesian language: a dataset and preliminary study. In: 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS), pp. 233–238 (2017). https://doi.org/10.1109/ICACSIS.2017.8355039
3. Banerjee, V., Telavane, J., Gaikwad, P.R., Vartak, P.: Detection of cyberbullying using deep neural network. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 604–607 (2019)
4. Br Ginting, P.S., Irawan, B., Setianingsih, C.: Hate speech detection on twitter using multinomial logistic regression classification method. In: 2019 IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), pp. 105–111 (2019). https://doi.org/10.1109/IoTaIS47347.2019.8980379
5. Burnap, P., Williams, M.L.: Cyber hate speech on twitter: an application of machine classification and statistical modeling for policy and decision making (2015). https://doi.org/10.1002/poi3.85
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