Neural networks for the automation of Arabic text categorization

In this paper, we compare and investigate Naive 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 Fl. Recall and Precision measures.