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- Title
AHP TECHNIQUES FOR PERSIAN TEXT SUMMARIZATION.
- Authors
Tofighy, Seyyed Mohsen; Raj, Ram Gopal; Seyyed Javadi, Hamid Haj
- 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.
- Subjects
DATA mining; ANALYTIC hierarchy process; PERSIAN language; NATURAL language processing; COMPUTER algorithms
- Publication
Malaysian Journal of Computer Science, 2013, Vol 26, Issue 1, p1
- ISSN
0127-9084
- Publication type
Article
- DOI
10.22452/mjcs.vol26no1.1