Improving Persian text classification using Persian thesaurus

Abstract

This paper proposes an innovative approach to improve the performance of Persian text classification. The proposed method uses a thesaurus as a helpful knowledge to obtain the real frequencies of words in the corpus. Three types of relationships are considered in our thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Experimental results show a significant improvement in the case of employing Persian thesaurus rather common methods. © 2011 Springer-Verlag.