Malaysian Journal of Computer Science (ISSN 0127-9084)
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Title:AHP Techniques for Persian Text Summarization
Auhtor(s): Seyyed Mohsen Tofighy,Ram Gopal Raj ,Hamid Haj Seyyed Javadi,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:26, No 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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