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 :
بازگشت