Automated crime report analysis and classification for e-government and decision support

Chih Hao Ku, Gondy Leroy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With an increasing number of anonymous crime tips and reports being filed and digitized, it is generally difficult for crime analysts to process and analyze crime reports efficiently. We are developing a decision support system (DSS), combining Natural Language Processing (NLP) techniques, a document similarity measure, and machine learning, i.e., a Naïve Bayes' classifier, to support crime analysis and classify which crime reports discuss the same and different crime. The DSS is developed with text mining techniques and evaluated with an active crime analyst. We report here on an experiment that includes two datasets with 40 and 60 crime reports and 16 different types of crimes for each dataset. The results show that our system achieved the highest classification accuracy (94.82%), while the crime analyst's classification accuracy (93.74%) is slightly lower.

Original languageEnglish (US)
Title of host publicationdg.o 2013 - Proceedings of the 14th Annual International Digital Government Research Conference
Subtitle of host publicationFrom E-Government to Smart Government
Pages18-27
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event14th Annual International Digital Government Research Conference: From E-Government to Smart Government, dg.o 2013 - Quebec City, QC, Canada
Duration: Jun 17 2013Jun 20 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other14th Annual International Digital Government Research Conference: From E-Government to Smart Government, dg.o 2013
CountryCanada
CityQuebec City, QC
Period6/17/136/20/13

Keywords

  • Classification
  • Natural Language Processing
  • Similarity measures

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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