Automated dictionary construction from arabic corpus for meaningful crime information extraction and document classification

Meshrif Alruily*, Aladdin Ayesh, Hussein Zedan

*Corresponding author for this work

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

    5 Citations (Scopus)

    Abstract

    Arabic is a very widely spoken language but very few mining tools have been developed to exploit the data that lies within bodies of Arabic text. Thus, this paper presents and then uses three automatic algorithm techniques specifically designed for Arabic. The target domain is crime profiling and the methods involve adaptive dictionary building. The bodies of text are mined for crime type, location and nationality. This work is then validated through three experiments, the results of which show that the techniques developed here are promising.

    Original languageEnglish
    Title of host publication2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010
    Pages137-142
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    Event2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010 - Krackow, Poland
    Duration: 8 Oct 201010 Oct 2010

    Conference

    Conference2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010
    Country/TerritoryPoland
    CityKrackow
    Period8/10/1010/10/10

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