An approach for word categorization based on semantic similarity measure obtained from search engines

被引：0
|
作者：
Amasyah, M. Fatih [1 ]
机构：
[1] Yildiz Tekn Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2006 IEEE 14th Signal Processing and Communications Applications, Vols 1 and 2 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Word categorization based on semantic similarity is a problem need to be solved for several natural language applications. A similarity measure is need for word categorization. In this study it is proposed that the semantic similarity between two Turkish words is in direct proportion to the number of pages which the words are located next to each other. Google and Yahoo search engines were used to find the number of pages. In the first attempt to verify the proposal, the experiments were done with small datasets. The average success ratio is 87%.
引用
收藏
页码：53 / 56
页数：4
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