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https://anrows.intersearch.com.au/anrowsjspui/handle/1/13541
Record ID: 6cac6993-256a-4595-b3d1-c4723a216c85
DOI: | https://doi.org/10.2196/13067 |
Type: | Journal Article |
Title: | Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study |
Authors: | Schofield, Peter W Jorm, Louisa Karystianis, George Adily, Armita Greenberg, David Butler, Tony Nenadic, Goran |
Year: | 2019 |
Publisher: | JMIR Publications |
Citation: | Volume 21, Number 3 |
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. |
Notes: | |
URI: | https://anrows.intersearch.com.au/anrowsjspui/handle/1/13541 |
Appears in Collections: | Journal Articles |
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