DETECTION OF CYBERBULLYING USING ADVANCED SECURITY

Abstract: Detection and Prevention of Cyberbullying is a natural language processing task, which aims to detect cyberbullying content in tweets which contain text and this text also contains emojis, and also detect the cyberbullying content in images. This has become increasingly important in recent times due to increase in social media activity and as the users increase the misusing of the content also increases. So, the cyberbullying content also has increased a lot in the recent times. To solve this problem, we propose a machine learning model which is trained on various social media content which has been marked manually by annotators as cyberbullying content. We aim to detect cyberbullying content and achieve state of the art performance on a variety of benchmark datasets.