AHP Techniques for Persian Text Summarization

Authors

  • Seyyed Mohsen Tofighy Faculty of Computer Science and Information Technology, University of Malaya
  • Ram Gopal Raj Faculty of Computer Science and Information Technology, University of Malaya
  • Hamid Haj Seyyed Javad Shahed University

DOI:

https://doi.org/10.22452/mjcs.vol26no1.1

Keywords:

Text Evaluation, Summary, Traditional Features

Abstract

In recent years, there has been an increasing amount of information on the web. Some of essential resources to shorten text documents use summarization technologies. In this paper, we present an AHP technique for Persian Text Summarization. This proposed model uses analytical hierarchy as a base factor for an evaluation algorithm and improves the summarization quality of Persian language text. The weighting and combination methods are two main contributions of the proposed text evaluation algorithm.

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Published

2013-03-01

How to Cite

Tofighy, S. M., Raj, R. G., & Seyyed Javad, H. H. (2013). AHP Techniques for Persian Text Summarization. Malaysian Journal of Computer Science, 26(1), 1–8. https://doi.org/10.22452/mjcs.vol26no1.1

Issue

Vol. 26 No. 1 (2013): Malaysian Journal of Computer Science

Section

Articles

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