This paper is in the following e-collection/theme issue:

New Methods (666) Natural Language Processing (492) Violence including Domestic Violence/Abuse (75)

Published on in Vol 21 , No 3 (2019) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13067, first published .
Automated Analysis of Domestic Violence Police Reports to Explore Abuse Types and Victim Injuries: Text Mining Study

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

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

Authors of this article:

George Karystianis 1 Author Orcid Image ;   Armita Adily 1 Author Orcid Image ;   Peter W Schofield 2 Author Orcid Image ;   David Greenberg 3 Author Orcid Image ;   Louisa Jorm 4 Author Orcid Image ;   Goran Nenadic 5 Author Orcid Image ;   Tony Butler 1 Author Orcid Image
Article Authors Cited by (16) Tweetations (8) Metrics

Journals

  1. Hwang Y, Zheng L, Karystianis G, Gibbs V, Sharp K, Butler T. Domestic violence events involving autism: a text mining study of police records in New South Wales, 2005-2016. Research in Autism Spectrum Disorders 2020;78:101634 View
  2. Karystianis G, Cabral R, Han S, Poon J, Butler T. Utilizing Text Mining, Data Linkage and Deep Learning in Police and Health Records to Predict Future Offenses in Family and Domestic Violence. Frontiers in Digital Health 2021;3 View
  3. Withall A, Karystianis G, Duncan D, Hwang Y, Kidane A, Butler T, Bowers B. Domestic Violence in Residential Care Facilities in New South Wales, Australia: A Text Mining Study. The Gerontologist 2022;62(2):223 View
  4. Barth R, Jiranek H. Strengthening Relationships between Couples to Respond to Domestic Violence: a Commentary on Policy Changes Needed to Support this Evolution. Journal of Family Violence 2022 View
  5. BERKİTEN ERGİN A, ÖZDİLEK R, ÖZDEMİR S, BAYDEMİR C. Violence in Pregnancy: Scale Validity and Reliability Study in Turkey. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi 2022:44 View
  6. Douglas H. The use of fire and threats to burn in the context of domestic and family violence and coercive control. Current Issues in Criminal Justice 2023;35(1):27 View
  7. Philbrick W, Milnor J, Deshmukh M, Mechael P. Information and communications technology use to prevent and respond to sexual and gender‐based violence in low‐ and middle‐income countries: An evidence and gap map. Campbell Systematic Reviews 2022;18(4) View
  8. Wilson M, Spike E, Karystianis G, Butler T. Nonfatal Strangulation During Domestic Violence Events in New South Wales: Prevalence and Characteristics Using Text Mining Study of Police Narratives. Violence Against Women 2022;28(10):2259 View
  9. Karystianis G, Cabral R, Adily A, Lukmanjaya W, Schofield P, Buchan I, Nenadic G, Butler T. Mental Illness Concordance Between Hospital Clinical Records and Mentions in Domestic Violence Police Narratives: Data Linkage Study. JMIR Formative Research 2022;6(10):e39373 View
  10. Chen X, Ding H, Fang S, Chen W. Predicting the Success of Internet Social Welfare Crowdfunding Based on Text Information. Applied Sciences 2022;12(3):1572 View
  11. Chatzisymeonidis S, Kioskli K. An observational study of domestic violence in Greece during COVID-19 through police records: The profile of heinous crimes between nuclear and extended family relationships. Policing: A Journal of Policy and Practice 2023;17(1) View
  12. Neubauer L, Straw I, Mariconti E, Tanczer L. A Systematic Literature Review of the Use of Computational Text Analysis Methods in Intimate Partner Violence Research. Journal of Family Violence 2023 View

Books/Policy Documents

  1. Mitiagina E, Borodataya M, Volchenkova E, Ershova N, Luchinina M, Kotelnikov E. Electronic Governance and Open Society: Challenges in Eurasia. View
  2. Soldner F, Tanczer L, Hammocks D, Lopez-Neira I, Johnson S. The Palgrave Handbook of Gendered Violence and Technology. View