Improving Persian text classification and clustering using Persian thesaurus

Abstract

This paper proposes an innovative approach to improve the classification performance of Persian texts. The proposed method uses a thesaurus as a helpful knowledge to obtain more representative word-frequencies in the corpus. Two types of word relationships are considered in our used thesaurus. This is the first attempt to use a Persian thesaurus in the field of Persian information retrieval. Experimental results indicate the performance of text classification improves significantly in the case of employing Persian thesaurus rather the case of ignoring Persian thesaurus. © 2012 Springer-Verlag.