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Study on the pre-warning system of public opinion based on PCA and PSO-SVM
Hao, Xiaohong; Gu, Kaicheng; Meng, Boyu
2016
关键词Index System Principal Component Analysis Support Vector Machine Particle Swarm Optimization
卷号67
页码661-664
英文摘要In "Internet+" era, how to real-time monitoring and build effective pre-warning systems of the network public opinion crisis has become a required courses for government departments and enterprises. This paper sufficiently considers the development, changes in laws and characteristics of the network public o-pinion crisis, and establishes a pre-warning index system with 7 indexes of network public opinion. Because of the final index redundancy and the lack of data, building the public opinion of Pre-Warning model based on PCA and SVM, and using PSO to optimize the parameters of SVM. Experiment shows the pre-warning index system of network public opinion and the model of PCA-PSO-SVM is effective and feasible.
会议录PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL
会议录出版者ATLANTIS PRESS
会议录出版地29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种英语
WOS研究方向Automation & Control Systems ; Engineering ; Materials Science
WOS记录号WOS:000379318300130
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36364]  
专题电气工程与信息工程学院
通讯作者Hao, Xiaohong
作者单位Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式
GB/T 7714
Hao, Xiaohong,Gu, Kaicheng,Meng, Boyu. Study on the pre-warning system of public opinion based on PCA and PSO-SVM[C]. 见:.
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