Mining on Terms Extraction from Web News

被引：0
|
作者：
Hsu, Li-Fu [1 ]
机构：
[1] Hwh Hsia Inst Technol, Dept Informat Management, Taipei 235, Taiwan
来源：
COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I | 2010年 / 6421卷
关键词：
web news; information technology; phrase extraction; pre-process texts;
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：
Thousand of news stories are reported each day. How to extract the useful information from the large web news is the important technology today. However, information technology advances have partially automated to processing documents, reducing the amount of text which must be read. In this paper we present a Web News Search System, called WNSS. WNSS can discover automatically phrase extraction from large corpora of web news stories. In addition, we give concrete examples of how to preprocess texts based on the intended use of the discovered results. We also evaluate the extracted phrases can be used for important tasks.
引用
收藏
页码：188 / 194
页数：7
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