An Experimental Study for the Effect of Stop Words Elimination for Arabic Text Classification Algorithms

Abstract

In this paper, an experimental study was conducted on three techniques for Arabic text classification. These techniques are Support Vector Machine (SVM) with Sequential Minimal Optimization (SMO), Naïve Bayesian (NB), and J48. The paper assesses the accuracy for each classifier and determines which classifier is more accurate for Arabic text classification… (More)
DOI: 10.4018/jitwe.2011040106

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