Offensive Language Detection on Social Media using Machine Learning
Abdrakhmanov R. Kenesbayev S.M. Berkimbayev K. Toikenov G. Abdrashova E. Alchinbayeva O. Ydyrys A.
2024Science and Information Organization
International Journal of Advanced Computer Science and Applications
2024#15Issue 5575 - 582 pp.
This research paper addresses the critical issue of cyberbullying detection within the realm of social networks, employing a comprehensive examination of various machine learning and deep learning techniques. The study investigates the performance of these methodologies through rigorous evaluation using standard metrics, including Accuracy, Precision, Recall, F-measure, and AUC-ROC. The findings highlight the notable efficacy of deep learning models, particularly the Bidirectional Long Short-Term Memory (BiLSTM) architecture, in consistently outperforming alternative methods across diverse classification tasks. Confusion matrices and graphical representations further elucidate model performance, emphasizing the BiLSTM-based models remarkable capacity to discern and classify cyberbullying instances accurately. These results underscore the significance of advanced neural network structures in capturing the complexities of online hate speech and offensive content. This research contributes valuable insights toward fostering safer and more inclusive online communities by facilitating early identification and mitigation of cyberbullying. Future investigations may explore hybrid approaches, additional feature integration, or realtime detection systems to further refine and advance the state-of-the-art in addressing this critical societal concern.
CNN , deep learning , hate speech , LSTM , Machine learning , RNN
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International University of Tourism and Hospitality, Turkistan, Kazakhstan
Kazakh National Women’s Teacher Training University, Almaty, Kazakhstan
Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
International Information Technology University, Almaty, Kazakhstan
International University of Tourism and Hospitality
Kazakh National Women’s Teacher Training University
Khoja Akhmet Yassawi International Kazakh-Turkish University
M. Auezov South Kazakhstan University
International Information Technology University
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