Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008) Optimizing Text Summarization Based on Fuzzy Logic May 14-May 16 ISBN: 978-0-7695-3131-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIS.2008.46
In this paper we first analyze some state of the art methods for text summarization. We discuss what the main disadvantages of these methods are and then propose a new method using fuzzy logic. Comparisons of results show that our method beats most methods which use machine learning as their core
Index Terms:
Text Summarization, Fuzzy Logic, Learning Machine, Vector Method
Citation:
Farshad Kyoomarsi, Hamid Khosravi, Esfandiar Eslami, Pooya Khosravyan Dehkordy, Asghar Tajoddin, "Optimizing Text Summarization Based on Fuzzy Logic," icis, pp.347-352, Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008), 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||