Social Media Cyberbullying Detection using Machine Learning in Bengali Language
Rounak Ghosh, Siddhartha Nowal, G. Manju · Zenodo (CERN European Organization for Nuclear Research) · 2021
Cyberbullying is the utilization of technology as a medium to menace somebody. Social networking sites give a prolific medium for menaces who utilize these sites to assault or harass helpless youthful grownups. Through Machine learning, we can distinguish language designs utilized by menaces and create rules to consequently recognize digital harassing content. Most of the works related to cyberbullying detection using machine learning have been proposed on languages such as English, Chinese and Arabic. Very few works have been done on regional Indian languages. In this paper, we have proposed a model that recognizes cyberbullying content in an uncommon or rather regional Indian language such as Bengali.