A Review of Machine Learning Techniques in Cyberbullying Detection

作     者：Daniyar Sultan Batyrkhan Omarov Zhazira Kozhamkulova Gulnur Kazbekova Laura Alimzhanova Aigul Dautbayeva Yernar Zholdassov Rustam Abdrakhmanov 

作者机构：Al-Farabi Kazakh National UniversityAlmatyKazakhstan International Information Technology UniversityAlmatyKazakhstan International University of Tourism and HospitalityTurkistanKazakhstan Almaty University of Power Engineering and TelecommunicationsAlmatyKazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish UniversityTurkistanKazakhstan Korkyt Ata Kyzylorda State UniversityKyzylordaKazakhstan 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第3期

页      面：5625-5640页

核心收录：

学科分类：12[管理学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

主　　题：Cyberbullying hate speech digital drama online harassment detection classification machine learning NLP 

摘      要：Automatic identification of cyberbullying is a problem that is gaining traction,especially in the Machine Learning *** only is it complicated,but it has also become a pressing necessity,considering how social media has become an integral part of adolescents’lives and how serious the impacts of cyberbullying and online harassment can be,particularly among *** paper contains a systematic literature review of modern strategies,machine learning methods,and technical means for detecting cyberbullying and the aggressive command of an individual in the information space of the *** undertake an in-depth review of 13 papers from four scientific *** article provides an overview of scientific literature to analyze the problem of cyberbullying detection from the point of view of machine learning and natural language *** this review,we consider a cyberbullying detection framework on social media platforms,which includes data collection,data processing,feature selection,feature extraction,and the application ofmachine learning to classify whether texts contain cyberbullying or *** article seeks to guide future research on this topic toward a more consistent perspective with the phenomenon’s description and depiction,allowing future solutions to be more practical and effective.