Cyber Bullying Detector on Twitter (X)

Abstract

In this era of technological advancement where everything is just a click away, In the domain of cyber bullying, a lot of computerized detection and report work is in progress. A lot of work has been done to develop such tools that help the agencies and other government working in particular domains that will help people overcome cyber bullying which is increasing tremendously day by day. We will develop a web-based detector through which bullying tweets can be identified and classified as bullying and non-bullying. In this system, our focus will be on English language with proper and formal text. Our target will be the users which create bullying environments. We will focus on the predators and their personal information will be added to generated report ratio of bullying and non-bullying percentage of tweets is displayed in the form of pie chart/graph. These reports can be further used as keeping a record or for monitoring of the ups and downs of the issue. Our tool won’t violate the privacy of the user, by that we mean that the user’s tweets will be kept as a record and to calculate bullying, but the record won’t be published by the tool. These graphs can be used to review the specific user’s improvement daily, monthly or yearly.