Optimizing Persian Text Summarization Based on Fuzzy Logic Approach

被引:0
|
作者
Kiyoumarsi, Farshad [1 ]
Esfahani, Fariba Rahimi [1 ]
机构
[1] Islamic Azad Univ, Shahrekord Branch, Tehran, Iran
来源
关键词
Text Summarization; Fuzzy Logic; Machine learning; Persian;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the sudden increase of information in the world and especially on the internet, text summarization has received great attention these days. This paper is an attempt to find a new method for summarizing Persian texts based on features available in Persian language and the use of fuzzy logic. We compare the new approach with other methods to show how effective the new method will be. In this paper we first analyze some state of the art methods to text summarization., We also try to analyze one of the previous text summarization methods, "Machine learning Approach", and eliminate its shortcomings Finally we present an approach to the design of an automatic text summarizer that generates a summary using fuzzy logic to obtain better results compared to previous methods.
引用
收藏
页码:264 / 269
页数:6
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