Crime Type Document Classification from Arabic Corpus

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 us...

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Bibliographic Details
Published in2009 Second International Conference on Developments in eSystems Engineering pp. 153 - 159
Main Authors Alruily, M., Ayesh, A., Zedan, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Data mining
Design engineering
Knowledge based systems
Laboratories
Natural language processing
Natural languages
Pattern recognition
Software prototyping
Text recognition
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ISBN1424454018
9781424454013
DOI10.1109/DeSE.2009.50

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Summary: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.
ISBN:1424454018
9781424454013
DOI:10.1109/DeSE.2009.50