تصميم خوارزمية حديثة لذيادة كفاءة تصنيف النص العربي باستخدام الانظمة الذكية

Abstract

Abstract‘ Text categorization is the process of classifying documentslinto a .. . predefined set of categories based on the content o_f the documents.‘ The study aimed to design an algorithm to irnprove7‘the- accuracy of the Arabic text stemming and classification especially!‘-vertbs multiple reward and bilateral names andiduplicate character?’;And;V"bsing intelligent software contribute to the Arabic textrclasisification . Software package was used visual studio2010 and c #~ package to fitlit smaijtsoftware systems used to classify texts . And The study icovncludedrthat the most important result set to increase the percentage; of classification of’Arabic texts to 96% . Abstraction algorithm has been‘ improved by increasing verbs multiple reward and bilateral names._ abstraction algorithm has

been improved and duplicate by deleting the character,-_injthez.-Arabic; texts) . been working interface fromfwhich you can increase Weight word manually in the system [ianclthe user so if Ray importance of the floor totdetermine the cat'egory.€There is an urgent need for the use of the Arabic languagejfor automated taxonomy in order to keep up with other languages, te_chniques_,. and study