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Automatically Constructing Dictionaries for Extracting Meaningful Crime Information from Arabic Text
Conference proceeding   Peer reviewed

Automatically Constructing Dictionaries for Extracting Meaningful Crime Information from Arabic Text

Meshrif Alruily, Aladdin Ayesh and Hussein Zedan
ECAI 2010 - 19TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, Vol.215, pp.1139-1140
Frontiers in Artificial Intelligence and Applications
01/01/2010
DOI: https://doi.org/10.3233/978-1-60750-606-5-1139

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
Arabic is widely spoken language but very few text mining tools have been developed for Arabic language. This paper presents an algorithm for automatically building dictionaries. The target domain is crime profiling. The corpus is mined for crime type, location and nationality. This work is then validated through three experiments, the results of which show that the algorithm developed here is promising.

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