Crime type document classification from arabic corpus

Meshrif Alruily*, Aladdin Ayesh, Hussein Zedan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

12 Citations (Scopus)

Abstract

This paper describes an initial prototype for identifying types of crime in a text within the crime domain. Two approaches are explored to perform recognition tasks. The first approach completely relies on direct recognition using gazetteers. In this case, lists of crime verbs and crime names are used. The second approach is a rule-based system. Rules are built based on the predefined crime indicator list that contains some important keywords. Even though the system is still under development, the initial results are promising.

Original languageEnglish
Title of host publicationProceedings - International Conference on Developments in eSystems Engineering, DeSE 2009
Pages153-159
Number of pages7
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Developments in eSystems Engineering, DeSE 2009 - Abu Dhabi, United Arab Emirates
Duration: 14 Dec 200916 Dec 2009

Conference

ConferenceInternational Conference on Developments in eSystems Engineering, DeSE 2009
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/12/0916/12/09

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