Cyberbullying on social media using hate speech in text is applying depreciatory dialect in message dispatches on online forums to abuse, defile, as well as ill-treat recipients. A report by the New Indian Express stated that 93% of Indian children were subordinated to cyberbullying out of which 45% were bullied by strangers and 48% were bullied by people known to them. The existing system uses feature extraction using count vectorizer with Support Vector Machine classifier to give an accuracy of 94.78%. The proposed system uses feature extraction using tokenization and padding with Artificial Neural Networks Classifier to achieve an accuracy of 95.85%. The system examines the text content of social media dispatches using Natural Language Processing through Artificial Neural Networks.