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New AIC Publications

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  • New AIC research demonstrates the potential to routinely analyse narrative data on family and domestic violence (FDV) in police reports.
  • Based on a sample of almost 500,000 FDV events, the research found that a specific type of abuse could be identified in over 70 percent of events. Victim injuries were identified in over a third of events.
  • The research also showed that around 16% of events involved a person of interest or victim with a mental disorder.


Read:
Text mining police narratives for mentions of mental disorders in family and domestic violence events
Text mining police narratives to identify types of abuse and victim injuries in family and domestic violence events
 

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