Detection of hateful twitter users with graph convolutional network model
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-00940-w.pdf
Reference49 articles.
1. Abro S, Shaikh S, Khand ZH, Zafar A, Khan S, Mujtaba G (2020) Automatic hate speech detection using machine learning: a comparative study. Int J Adv Comput Sci Appl 11(8)
2. Al-Hassan A, Al-Dossari H (2019) Detection of hate speech in social networks: a survey on multilingual corpus. In: 6th international conference on computer science and information technology, vol 10, pp 10–5121. https://doi.org/10.5121/csit.2019.90208
3. Albadi N, Kurdi M, Mishra S (2018) Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp 69–76. https://doi.org/10.1109/ASONAM.2018.8508247
4. Antoniadis A, Lambert-Lacroix S, Poggi JM (2021) Random forests for global sensitivity analysis: a selective review. Reliab Eng Syst Saf 206:107312. https://doi.org/10.1016/j.ress.2020.107312
5. Area S, Mesra R (2012) Analysis of Bayes, neural network and tree classifier of classification technique in data mining using WEKA. Comput Sci Inf Technol. https://doi.org/10.5121/csit.2012.2236
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