Scalable Arabic text Classification Using Machine Learning Model

Abstract

Recently, with the existence of internet we have witnessed great development in computer systems. Artificial intelligence means to developing computer systems that able to perform intelligent tasks.[1] Machine learning is one method of make such systems. In this paper, using SVM classifier, I build a Multi-label text classification model for Arabic text. This model is basically used to classify articles on their topics. The results show that using SVM classifier on the dataset generated the best results with 82.2% accuracy. The model was build using Python.