SCOPUS 2005-2009

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Browsing SCOPUS 2005-2009 by Subject "Binary tree"

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    Intelligent model for automatic text summarization
    (2009) M.S. Binwahlan; N. Salim; 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. © 2009 Asian Network for Scientific Information.
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    Swarm diversity based text summarization
    (2009) Mohammed Salem Binwahlan; Naomie Salim; Ladda Suanmali; M. S. Binwahlan; Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Skudai, Johor 81310, Malaysia; email: moham2007med@yahoo.com
    Automatic text summarization systems aim to make their created summaries closer to human summaries. The summary creation under the condition of the redundancy and the summary length limitation is a challenge problem. The automatic text summarization system which is built based on exploiting of the advantages of different techniques in form of an integrated model could produce a good summary for the original document. In this paper, we introduced an integrated model for automatic text summarization problem; we tried to exploit different techniques 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 differentiation between the most important features and less important using swarm based method. The experimental results showed that our model got the best performance over all methods used in this study. © 2009 Springer-Verlag Berlin Heidelberg.