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 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.
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Bache, R., Crestani, F., Canter, D., Youngs, D. (2008). A Language Modelling Approach to Linking Criminal Styles with Offender Characteristics. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_26
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DOI: https://doi.org/10.1007/978-3-540-69858-6_26
Publisher Name: Springer, Berlin, Heidelberg
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