计算机与数字工程2018，Vol.46Issue(2)：326-331,410,7.DOI:10.3969/j.issn.1672-9722.2018.02.024
基于PSO-SVM的网络舆情垃圾观点识别
Network Public Opinion Spam Recognition Based on PSO-SVM
摘要
Abstract
With the development of Internet,Internet users are more likely to focus on,review and communicate topics which they are interested in on microblog,BBS websites.But users generate comments which sometimes has nothing to do with the topic, and even review spam,this part reviews have negative effects in users.Therefore,this paper puts forward a kind of model by PSO optimizing the model parameters of support vector machine(SVM),this mathematical model can effectively identify public opinion spam view.In addition,the definition numbers of spam view and the impact of different features of review spam for recognition are also analyzed.Through the experiment it is showed that choosing the appropriate features for the importance of review spam recogni-tion.关键词
网络舆情/粒子群优化算法(PSO)/支持向量机(SVM)/垃圾观点识别Key words
public opinion/particle swarm optimization/support vector machine/review spam detection分类
信息技术与安全科学引用本文复制引用
马晓宁,王婷,董松月..基于PSO-SVM的网络舆情垃圾观点识别[J].计算机与数字工程,2018,46(2):326-331,410,7.基金项目
中央高校基本科研业务费中国民航大学专项:"新型复杂网络环境下民航网络舆情分析关键技术研究"(编号:3122014C018)和中国民航大学科研启动费"面向服务架构的端到端信任机制研究"(编号:09QD02X)资助. （编号:3122014C018）
