DocumentCode
1806013
Title
Research of Internet public opinion based on data mining
Author
Xuren, Wang ; Bei, Song ; Shuo, Yang
Author_Institution
Inf. Eng. Coll., Capital Normal Univ., Beijing, China
Volume
4
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
2414
Lastpage
2418
Abstract
To investigate the issue of the Internet public opinion mining. To show how to get web page information from the Internet, purify and convert the web page to appropriate format processed by computer. To find topic based on a new clustering algorithm which need not calculate all similarity and is more effective than the traditional clustering algorithm. At last discuss the hotspot detection and tracking technology.
Keywords
Internet; data mining; pattern clustering; Internet public opinion; Web page information; clustering algorithm; data mining; hotspot detection; tracking technology; Navigation; Vectors; Internet public opinion; hotspot detection; text clustering; vector space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182458
Filename
6182458
Link To Document