Title :
The prediction algorithm design of emergency event for network public opinion
Author_Institution :
Dept. of Network Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057292
