The Use of Computational Text-Mining Methods to Understand and Detect Intimate Partner Abuse

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The project seeks to use computational text mining and information retrieval methods to research intimate partner abuse in large datasets. The work is split into three parts: 1) applying computational text mining to recognise reports of psychological abuse on social media forums, and examine the prevalence and content of these reports; 2) using computational text analysis to investigate the prevalence of Non-Fatal Strangulation and tech-facilitated stalking and harassment in a large dataset of police case summaries; and 3) the collection and analysis of a pseudonymised corpus of abusive text messages between intimate partners, as a preliminary step towards training a machine learning model to automatically recognise abusive text messages.