KEYWORD EXTRACTION OF WEB PAGES BASED ON DOMAIN THESAURUS

被引：0
|
作者：
He, Guowan [1 ]
Wang, Jie [1 ]
Zhang, Yafeng [1 ]
Peng, Yan [1 ]
机构：
[1] Capital Normal Univ, Sch Management, Beijing 100089, Peoples R China
来源：
2014 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS) | 2014年
基金：
北京市自然科学基金;
关键词：
Keyword extraction; Domain thesaurus; Keyword of web pages; Keyword weight;
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：
This paper presents a keyword extraction method of web pages based on domain thesaurus. The method extracts keywords from web pages based on traditional statistic features, such as frequency and location, and it also evaluates the weight of candidate keywords combining with their relation of domain thesaurus. This method can effectively identify domain keywords of web pages with low frequency but more information in specific area. Based on the web pages keywords extraction of environment domain as an example, this paper introduces the framework and algorithm of the method. Experimental results show that, compared with the traditional TF-IDF method, this method has a better keyword extraction performance in environment-related web pages, an average of 20% recall rate, and an average of 15 percent accuracy rate.
引用
收藏
页码：310 / 314
页数：5
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