Survey on news mining tasks

被引：1
|
作者：
Sayyadi, Hassan [1 ]
Salehi, Sara [1 ]
AbolHassani, Hassan [1 ]
机构：
[1] Sharif Univ Technol, Web Intelligence Lab, Tehran, Iran
来源：
INNOVATIONS AND ADVANCED TECHNIQUES IN COMPUTER AND INFORMATION SCIENCES AND ENGINEERING | 2007年
关键词：
news; clustering; news retrieval; news mining;
D O I：
10.1007/978-1-4020-6268-1_40
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Nowadays, there are plenty of online websites related to news. Hence, new technologies, tools and special search engines are created for having access to the news on these websites. Online news is a special type of public information which has exclusive characteristics. These characteristics contribute news engines tasks such as discovering, collecting and searching to be different with similar tasks in traditional web search engines. Clustering plays conspicuous role in news engines tasks. In this paper we study various tasks in news engines and also focusing on clustering applications in them.
引用
收藏
页码：219 / 224
页数：6
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