In this book, we have implemented a support vector machine (SVM) text classifier for Arabic articles. Experimental results show that the SVM classifier outperformed Naive Bayesian (NB) and k-nearest neighbor (kNN) classifiers. We investigated the effectiveness of six state-of-the-art feature subset selection (FSS) methods, which are commonly used in text classification (TC) tasks, for our Arabic SVM text classification system. We implemented an Ant Colony Optimization Based-Feature Subset Selection (ACO Based-FSS) method for our Arabic SVM text classifier. The proposed FSS method adapted...
In this book, we have implemented a support vector machine (SVM) text classifier for Arabic articles. Experimental results show that the SVM classifie...
