Title of article :
AHP TECHNIQUES FOR PERSIAN TEXT SUMMARIZATION
Author/Authors :
Tofighy, Mohsen university of malaya - Faculty of Computer Science and Information Technology, Malaysia , Raj, Ram Gopal university of malaya - Faculty of Computer Science and Information Technology, Malaysia , Haj Seyyed Javadi, Hamid shahed university - Department of Mathematics and Computer Science, تهران, ايران
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.
Keywords :
Text Evaluation , Summary , Traditional Features
Journal title :
Malaysian Journal of Computer Science
Journal title :
Malaysian Journal of Computer Science
