Cyberbullying is defined as the harassment or intimidation of others over an internet related medium. It is a major cyber-issue that in extreme cases may result in depression and suicide in young adults. Our goal is to detect cyberbullying instances and prevent them from being published. In this research project, we introduce a data-driven approach that uses the real-life data from Twitter to identify major characteristics of cyberbullying contents on social media using linguistic analysis.