Arabic News Classification Using Field Association Words

Text classification is a popular problem that has been studied extensively in the last four decades. Since many classification schemes can be used, the question of how to choose the best one among many for a designated task remains. In this work, we design a method for classification the Arabic news, the classification system that best fits data given a certain representation. We present a new method for Arabic news classification using field association words (FA words). The document preprocessing system will generate the meaningful terms based on Arabic corpus and Arabic language dictionary. Then, the field association terms will be classified according to FA word classification algorithm.