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Title:
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APPLICATION OF FUZZY LOGIC IN THE IMPROVEMENT OF TEXT SUMMARIZATION |
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Author(s):
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Fariba Rahimi Isfahani , Farshad Kyoomarsi , Hamid Khosravi , Esfandiar Eslami , Asgar Tajodin , Pooya Khosravyan Dehkordy |
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ISBN:
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978-972-8924-62-1 |
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Editors:
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Hans Weghorn and Ajith P. Abraham |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Text Summarization, Fuzzy Logic, Learning Machine, Vector Method |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nowadays, people need much more information in work and life, especially the use of internet make information more
easily gained. So, automatic text summarization draws substantial interest since it provides a solution to the information
overload problem people face in this digital era. In this paper, we try to analyze the previous text summarization methods
like Machine learning and eliminate their shortcomings and then we devise a method using fuzzy logic to obtain better
results compared to previous methods. Then, we try to implement those methods and compare the results. |
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