{"title":"The prediction algorithm design of emergency event for network public opinion","authors":"Zuli Wang","doi":"10.1109/ICECENG.2011.6057292","DOIUrl":null,"url":null,"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.","PeriodicalId":6336,"journal":{"name":"2011 International Conference on Electrical and Control Engineering","volume":"1 1","pages":"2731-2734"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Electrical and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECENG.2011.6057292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
