DocumentCode :
1572057
Title :
Optimizing Text Summarization Based on Fuzzy Logic
Author :
Kyoomarsi, Farshad ; Khosravi, Hamid ; Eslami, Esfandiar ; Dehkordy, Pooya Khosravyan ; Tajoddin, Asghar
Author_Institution :
Islamic Azad Univ., Tehran
fYear :
2008
Firstpage :
347
Lastpage :
352
Abstract :
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.
Keywords :
abstracting; fuzzy logic; text analysis; fuzzy logic; state-of-the-art methods; text summarization; Automatic generation control; Data mining; Fuzzy logic; Fuzzy systems; Information analysis; Information science; Internet; Machine learning; Natural language processing; Optimization methods; Fuzzy Logic; Learning Machine; Text Summarization; Vector Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-0-7695-3131-1
Type :
conf
DOI :
10.1109/ICIS.2008.46
Filename :
4529844
Link To Document :
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