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A Language Modelling approach to linking criminal styles with offender characteristics

Bache, Richard, Crestani, Fabio, Canter, David V. and Youngs, Donna E. (2010) A Language Modelling approach to linking criminal styles with offender characteristics. Data & Knowledge Engineering, 69 (3). pp. 303-315. ISSN 0169-023X

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    Abstract

    The ability to infer the characteristics of offenders from their criminal behaviour (‘offender profiling’) has only been partially successful since it has relied on subjective judgments based on limited data. Words and structured data used in crime descriptions recorded by the police relate to behavioural features. Thus Language Modelling was applied to an existing police archive to link behavioural features with significant characteristics of offenders. Both multinomial and multiple Bernoulli models were used. Although categories selected are gender, age group, ethnic appearance and broad occupation (employed or not), in principle this can be applied to any characteristic recorded. Results indicate that statistically significant relationships exist between all characteristics for many types of crime. Bernoulli models tend to perform better than multinomial ones. It is also possible to identify automatically specific terms which when taken together give insight into the style of offending related to a particular group.

    Item Type: Article
    Subjects: B Philosophy. Psychology. Religion > BF Psychology
    Schools: School of Human and Health Sciences
    School of Human and Health Sciences > International Research Centre for Investigative Psychology
    Related URLs:
    Depositing User: David Canter
    Date Deposited: 14 Jul 2010 13:11
    Last Modified: 23 Sep 2010 14:19
    URI: http://eprints.hud.ac.uk/id/eprint/8052

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