Neural Networks for the Automation of Arabic Text Categorization
Saleh M. AlSaleem
Journal of Intelligent Computing, Vol. 4, No. 2, 2013.
DOI: 
Link: http://www.dline.info/jic/fulltext/v4n2/1.pdf
Abstract:
In this paper, we compare and investigate NaÃƒÂ¯ve Bayesian Method (NB), K-Nearest Neighbor along with Neural Network method on different Arabic data sets. The bases of our comparison are the most popular text evaluation measures. The Experimental results against different Arabic text categorization data sets reveal that NB categorizer outperformed both k-NN and NN algorithms with regard to F1, Recall and Precision measures.