Detecting Social Media Risk Users

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It can be vital both for security and for mental health reasons to identify users at risk in social media. That can be users being at risk of being radicalised (as extremists, school shooters and other types of terrorists, etc.) or of being targeted by predators or extremist organisations, as well as users showing signs of mental health issues (depression, suicide, eating disorders, etc.). 
This thesis work would experiment with applying various machine learners to social media text. To fully utilise deep learning, a substantial amount of data will need to be gathered, either from previous research or specifically for the task.