Exploring independent trends in a topic-based search engine

被引：12
|
作者：
Perkiö, J [1 ]
Buntine, W [1 ]
Perttu, S [1 ]
机构：
[1] Helsinki Inst Informat Technol, Complex Syst Computat Grp, FIN-02015 Helsinki, Finland
来源：
IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2004), PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/WI.2004.10053
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Topic-based search engines are an alternative to simple keyword search engines that are common in today's intranets. The temporal behaviour of the topics in a topic model based search engine can be used for trend analysis, which is an important research goal on its own. We apply topic modelling to an online financial newspaper data and show that some of the trends in the topics are consistent with common understanding.
引用
收藏
页码：664 / 668
页数：5
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