Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study.

ABSTRACT:

Background

The police attend numerous domestic violence events each year, recording details of these events as both structured (coded) data and unstructured free-text narratives. Abuse types (including physical, psychological, emotional, and financial) conducted by persons of interest (POIs) along with any injuries sustained by victims are typically recorded in long descriptive narratives.

Objective

We aimed to determine if an automated text mining method could identify abuse types and any injuries sustained by domestic violence victims in narratives contained in a large police dataset from the New South Wales Police Force.

Methods

We used a training set of 200 recorded domestic violence events to design a knowledge-driven approach based on syntactical patterns in the

SUBMITTER: Karystianis G 

PROVIDER: S-EPMC6434398 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature