Cyberbullying is a major problem encountered on internet that affects teenagers and also adults. It has lead to mishappenings like suicide and depression. Regulation of content on Social media platorms has become a growing need. The following study uses data from two different forms of cyberbullying, hate speech tweets from Twittter and comments based on personal attacks from Wikipedia forums to build a model based on detection of Cyberbullying in text data using Natural Language Processing and Machine learning. Three methods for Feature extraction and four classifiers are studied to outline the best approach. Increasing internet use and facilitating access to online communities such as social media have led to the emergence of cybercrime. Cyberbullying, a new form of bullying that emerged recently with the development of social networks, means sending messages that include slanderous statements, or verbally bullying other people in front of rest of the online community. The characteristics of online social networks enable cyberbullies to access places and countries that were previously unattainable for using SVM we are going to identify cyberbullying in twitter