Study and Comparison of Different Vocabulary Selection Methods: Application to Topic Detection of Arabic Documents

In this paper we present many studies and comparisons of different methods of vocabulary selection applied to Topic Detection of some Arabic documents. The topic detection is realized by two methods: neuronal network and support vector machines (SVM). We tested and compared different vocabulary selection methods: word frequency per topic, entropy, Gini and “fselect” based on SVM.