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.
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.
出处
《计算机系统应用》
2017年第1期206-211,共6页
Computer Systems & Applications
基金
广东省省级学校德育创新项目(2015DYZD015)
广东省科技计划(2014A080804001)
关键词
网络舆情
微博帐号
身份识别
模式匹配
学生微博
online public opinion
microblog account
identification recognition
pattern matching
student microblog
