A language modelling approach to linking criminal styles with offender characteristics
- Bache, Richard University of Glasgow, Glasgow, Scotland, United Kingdom
- Crestani, Fabio Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
- Canter, David International Research Centre for Investigative Psychology, University of Huddersfield, England
- Youngs, Donna International Research Centre for Investigative Psychology, University of Huddersfield, England
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15.06.2009
Published in:
- Data & knowledge engineering. - Elsevier. - 2010, vol. 69, no. 3, p. 303-315
English
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 and age group, in principle this can be applied to any characteristic recorded. Results indicate that statistically significant relationships exist between both age and sex in certain types of crime. Both types of language model perform with similar effectiveness. 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.
- Language
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- English
- Classification
- Computer science and technology
- License
- License undefined
- Identifiers
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- RERO DOC 21816
- DOI 10.1016/j.datak.2009.10.009
- ARK ark:/12658/srd1318164
- Persistent URL
- https://n2t.net/ark:/12658/srd1318164
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