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Received:April 17, 2016 Revised:May 16, 2016
Received:April 17, 2016 Revised:May 16, 2016
中文摘要: 对高校大学生微博身份进行精确识别有利于尽早的定位大学生网络谣言、高校舆情事件的起源,为高校辅导员及相关管理部门采取线下补救措施、及时处理突发事件争取时间.以学校提供的学生信息资料为背景,让挖掘到的大学生微博信息尽可能地去匹配已有的背景信息,从而识别高校区域大学生微博帐号.分别采用3种阈值进行实验分析,证明这种循环匹配的方法可以获得较好的识别效果.
Abstract:The accurate identification of college student microblogs is helpful to location the sources of college student rumors and university public opinion events early, which can gain time for the university tutors and related authorities to take remedial measures and deal with emergencies promptly.It matches the college student microblogs information with the student background information from the university as much as possible, so that the student microblog accounts can be identified in certain area of university.The experiments are performed on three different threshold values, and the results prove the effectiveness of the identification by this loop matching method.
keywords: online public opinion microblog account identification recognition pattern matching student microblog
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基金项目:广东省省级学校德育创新项目(2015DYZD015);广东省科技计划(2014A080804001)
引用文本:
姜赢,何国东,郭雨宸,朱玲萱.高校区域大学生微博身份的精确识别方法.计算机系统应用,2017,26(1):206-211
JIANG Ying,HE Guo-Dong,GUO Yu-Chen,ZHU Ling-Xuan.Accurate Identification Method of College Student Microblogs in Certain Area of University.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):206-211
姜赢,何国东,郭雨宸,朱玲萱.高校区域大学生微博身份的精确识别方法.计算机系统应用,2017,26(1):206-211
JIANG Ying,HE Guo-Dong,GUO Yu-Chen,ZHU Ling-Xuan.Accurate Identification Method of College Student Microblogs in Certain Area of University.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):206-211