Anti-Cyberbullying System Using AI in Social Media

Social media permit people to share whatever they want to prints, vids, and details considerably and communicate with society. Facebook, Twitter, TikTok, Instagram are the most popular social media. Currently in education, business and also enhancing the world’s frugality through creating numerous new job openings that are benefited by social web. Nowadays, smart megacity that have relocated the people from real world to the virtual world (cyberspace) Impact on youthful people have use social web medium for bullies, teens, youthful grown-ups who use their spots are vulnerable to attacks. Using obscurity technology, we can find that the hate speech and bullying happening in social web and it’s also been expanded across the world research accepted to formulate approaches for automatic discovery of cyber-aggression from machine literacy models and also more complex DNN models and different social network platforms. In this paper, we used ONNs machine literacy model to descry cyberbullying using twitter dataset. Here we analyze that ONNs achieved radically higher than various classifiers by achieving accuracy rates 96 and F1-score 93.