A Combination based on OWA Operators for Multi-label Genre Classification of web pages

被引：0
|
作者：
Jebari, Chaker [1 ]
机构：
[1] Coll Appl Sci, POB 14,PC 516, Muscat, Oman
来源：
PROCESAMIENTO DEL LENGUAJE NATURAL | 2015年 / 54期
关键词：
OWA; combination; multi-label; classifier; genre; web page;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
This paper presents a new method for genre identification that combines homogeneous classifiers using OWA (Ordered Weighted Averaging) operators. Our method uses character n-grams extracted from different information sources such as URL, title, headings and anchors. To deal with the complexity of web pages, we applied MLKNN as a multi-label classifier, in which a web page can be affected by more than one genre. Experiments conducted using a known multi-label corpus show that our method achieves good results.
引用
收藏
页码：13 / 20
页数：8
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