An efficient stemming for Arabic Text Classification

Abstract

Using N-gram technique without stemming is not appropriate in the context of Arabic Text Classification. For this, we introduce a new stemming technique, which we call “approximate-stemming”, based on the use of Arabic patterns. These are modeled using transducers and stemming is done without depending on any dictionary. This stemmer will be used in the context of Arabic Text Classification.