Pipeline for Identification of Terrorist Organization and Classification of Their Members Using Social Media

Abstract

Social media has a tendency to change perception or opinion of people. The surge in use of social media has made people venerable to exploitation by different banned outfits. The aim of this research is to analyze social media content and to identify potential individual or group of individual and their target. We generated a dataset using Twint API and use natural language processing techniques to preprocess the data and later use network analysis and different machine learning ensemble techniques to identify potential individuals that are targeting and recruiting people in the name of NGO’s.