文章基本信息

标题：NO HAMBURGERS FOR THE ELDERLY? BASED ON REGRESSION ANALYSIS METHOD
本地全文：下载
作者：ZAINA ALSAED ; DERAR ELEYAN
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：13
语种：English
出版社：Journal of Theoretical and Applied
摘要：Cyberbullying is a continuously growing issue in the insecure environment of social media networking platforms. It is common mostly among teenagers. To achieve successful cyberbullying prevention, appropriate detection of cyberbullying cases must be applied. This could be done through the application of intelligent techniques to identify mistreating behaviors. Nevertheless, automatic identification of potential online cyberbullying cases needs many requirements, especially with the huge loads of available information uploaded on the web. The primary objective of this paper is to highlight cyberbullying detection techniques so that it contributes positively to control bullying practices on social media. Its approach was reviewing existing attempts of cyberbullying detection using machine-learning algorithms and hence recap each. Overall, the outcomes are bright; however, they still have an opportunity to get better.
关键词：Cyberbullying;Machine learning;Social Networki