Automated Arabic Text Categorization Using SVM and NB

Saleh Alsaleem
2011 ˜The œinternational Arab journal of e-technology  
Text classification is a supervised learning technique that uses labeled training data to derive a classification system (classifier) and then automatically classifies unlabelled text data using the derived classifier. In this paper, we investigate Naïve Bayesian method (NB) and Support Vector Machine algorithm (SVM) on different Arabic data sets. The bases of our comparison are the most popular text evaluation measures. The Experimental results against different Arabic text categorization data
more » ... sets reveal that SVM algorithm outperforms the NB with regards to all measures.
dblp:journals/iajet/Alsaleem11 fatcat:nzhvcyuitraphbofdjj7kpa7gm