DocumentCode
1978128
Title
The prediction algorithm design of emergency event for network public opinion
Author
Wang, Zuli
Author_Institution
Dept. of Network Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
2731
Lastpage
2734
Abstract
The prediction of emergency event occupies an important position in the network public opinion. In this paper, an improved algorithm for emergency event based on statistics of word frequency is presented, which takes BBS, blog, news sites with commentary function as investigated subjects. The experiment shows it can provide the useful ideas and exploration for analysis of public opinion and early warning of mass group incidents.
Keywords
Web sites; emergency services; blog; commentary function; emergency event; mass group incident; network public opinion; news sites; prediction algorithm design; word frequency; Algorithm design and analysis; Computational modeling; Computers; Information technology; Intelligent networks; Manufacturing; Prediction algorithms; emergency event; prediction; public opinion; the rate of document citation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057292
Filename
6057292
Link To Document