计算机工程2017，Vol.43Issue(4)：171-176,6.DOI:10.3969/j.issn.1000-3428.2017.04.029
基于AHP与SVM的微博机器用户检测方法
Microblog Bot-user Identification Method Based onAnalytic Hierarchy Process and Support Vector Machine
张晓艺 1路燕 1翟惠良1
作者信息
- 1. 山东科技大学 信息科学与工程学院,山东 青岛 266590
- 折叠
摘要
Abstract
Taking sina Microblog bot users as the object of study,this paper analyses and extracts features of the bot user and proposes a new Microblog bot user identification method.Through the Analytic Hierarchy Process(AHP),it constructs an index system and makes quantitative evaluation of each index feature.It uses Support Vector Machine(SVM) to construct a bot-user identification model.It tests different kernel functions that the importance prediction of each classification index,compared with the result of quantitative evaluation.Meanwhile,using different kernel functions tests the classification accuracy.According to the two results,the optimal classifier is selected.Experimental result shows that the identification method can make an accurate detection to the bot user.关键词
机器用户检测/特征提取/量化评估/层析分析法/支持向量机/最优分类器Key words
bot-user identification/feature extraction/quantitative evaluation/Analytic Hierarchy Process(AHP)/Support Vector Machine(SVM)/optimal classifier分类
信息技术与安全科学引用本文复制引用
张晓艺,路燕,翟惠良..基于AHP与SVM的微博机器用户检测方法[J].计算机工程,2017,43(4):171-176,6.
