Automating the Detection of Cyberstalking

Cyberstalking and cyberbullying are serious issues that affect the online lifestyle of the victim or an organization and have a bad impact on a person's behavior. Social media can be considered as goldmines to collect personal details of a person, it can provide stalkers with all our details and this information can be misused in a lot of ways. This work aims to research ways to define, identify a cyberstalker as well as propose an algorithm to identify the potential cyberstalkers so that it alerts the victim to take precautions. This process is automated with Machine Learning and Natural Language Processing techniques. The project aims to propose an automated solution for identifying a stalker online.