Subscribe Now Subscribe Today
Science Alert
Curve Top
Information Technology Journal
  Year: 2009 | Volume: 8 | Issue: 8 | Page No.: 1249-1255
DOI: 10.3923/itj.2009.1249.1255
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Intelligent Model for Automatic Text Summarization

M.S. Binwahlan, N. Salim and L. Suanmali

The navigation through hundreds of the documents in order to find the interesting information is a tough job and waste of the time and effort. Automatic text summarization is a technique concerning the creation of a compressed form for single document or multi-documents for tackling such problem. In this study, we introduced an intelligent model for automatic text summarization problem; we tried to exploit different resources advantages in building of our model like advantage of diversity based method which can filter the similar sentences and select the most diverse ones and advantage of the non diversity method used in this study which is the adaptation of intelligent techniques like fuzzy logic and swarm intelligence for building that method which gave it a good ability for picking up the most important sentences in the text. The experimental results showed that our model got the best performance over all methods used in this study.
PDF Fulltext XML References Citation Report Citation
  •    An Intuitionistic Fuzzy AHP Based on Synthesis of Eigenvectors and its Application
  •    Functional Ontology and Concept Maps for Knowledge Navigation: An Application Example for Contest Robot
How to cite this article:

M.S. Binwahlan, N. Salim and L. Suanmali, 2009. Intelligent Model for Automatic Text Summarization. Information Technology Journal, 8: 1249-1255.

DOI: 10.3923/itj.2009.1249.1255






Curve Bottom