Detecting Social Media Risk Users

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It can be vital both for mental health reasons and for security to identify users at risk in social media. That can be users showing signs of mental health issues (depression, suicide, eating disorders, etc.) as well as users being at risk of being radicalised (as extremists, school shooters and other types of terrorists, , etc.), or users being targeted by predators or extremist organisations. 
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.