A Comparative Analysis of Machine Learning Techniques for Cyberbullying Detection on Twitter
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- Maher Maalouf, 2011. "Logistic regression in data analysis: an overview," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 3(3), pages 281-299.
- Cynthia Van Hee & Gilles Jacobs & Chris Emmery & Bart Desmet & Els Lefever & Ben Verhoeven & Guy De Pauw & Walter Daelemans & Véronique Hoste, 2018. "Automatic detection of cyberbullying in social media text," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-22, October.
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- Ebrahim A. A. Ghaleb & P. D. D. Dominic & Suliman Mohamed Fati & Amgad Muneer & Rao Faizan Ali, 2021. "The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees," Sustainability, MDPI, vol. 13(15), pages 1-33, July.
- José Manuel Ortiz-Marcos & María Tomé-Fernández & Christian Fernández-Leyva, 2021. "Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions," Future Internet, MDPI, vol. 13(1), pages 1-15, January.
- Suliman Mohamed Fati & Amgad Muneer & Ayed Alwadain & Abdullateef O. Balogun, 2023. "Cyberbullying Detection on Twitter Using Deep Learning-Based Attention Mechanisms and Continuous Bag of Words Feature Extraction," Mathematics, MDPI, vol. 11(16), pages 1-21, August.
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Keywords
cyberbullying detection; tweets classification; Twitter; logistic regression; random forest; light GBM; SGD; AdaBoost; naive bayes; SVM;All these keywords.
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