Improving persian text classification using persian thesaurus

Authors:
Hamid Parvin;Behrouz Minaei-Bidgoli;Atousa Dahbashi
Affiliations:
School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran;School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran;School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
Venue:
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2011

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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.