基于支持向量机的微博水军账号识别  

Weibo Naval Account Identification Based on Support Vector Machine

作　　者：王淑琪 王未央[1] WANG Shu-qi;WANG Wei-yang(College of Computer Science,Shanghai Maritime University,Shanghai 201306)

机构地区：[1]上海海事大学信息工程学院,上海201306

出　　处：《现代计算机》2018年第6期27-31,共5页Modern Computer

摘　　要：网络水军伴随着互联网社交平台的发展而兴起。它极大地干扰了网络舆论和信息安全,加剧互联网用户在海量复杂的信息中获取真实信息的难度,从而误导用户正常思维观念。以微博为平台研究微博正常用户及水军用户的账号差异,提取出用于识别微博水军用户的特征属性,基于支持向量机算法进行分类,完成水军识别模型。实验表明,该模型比已有的水军识别模型具有更高的识别精确度和有效性。The Internet navy is emerging along with the development of the Internet social platform.It greatly interferes with the public opinion and in?formation security in the network,exacerbates the Internet users in the massive and complex information to obtain real information more dif?ficult,thus misleading the user's normal thinking.Taking Weibo as a platform,studies the account differences between normal users and navy users of Weibo,extracts the characteristic attributes used to identify the navy users of Weibo,and classifies them based on the support vector machine algorithm to complete the water army identification model.Experiments show that this model has higher recognition accura?cy and validity than the existing water army recognition model.

关 键 词：微博水军 支持向量机 数据挖掘 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] TP393.092[自动化与计算机技术—计算机科学与技术]