Towards Effective Web Page Classification

被引：0

作者：

Gu, Min ^{[1
]}

Zhu, Feng ^{[1
]}

Guo, Qing ^{[1
]}

Gu, Yanhui ^{[1
]}

Zhou, Junsheng ^{[1
]}

Qu, Weiguang ^{[1
]}

机构：

[1] Nanjing Normal Univ, Sch Comp Sci & Technol, Nanjing, Jiangsu, Peoples R China

来源：

2016 INTERNATIONAL CONFERENCE ON BEHAVIORAL, ECONOMIC AND SOCIO-CULTURAL COMPUTING (BESC) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In order to manage and organize information on the web, we propose a novel web page classification strategy integrating topic model and SVM. We use topic model to harness the implicit information on web pages for feature extraction. Accuracy of the strategy is 84.15%, 2.23% superior to the traditional classification strategy based on CHI.

引用

页码：126 / 127

页数：2

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