摘要
为了实现大数据时代大学生网络舆情的动态监测和预警,从百度贴吧里抓取近几年学院大学生网络聊天记录,建立了网络舆情指数、预警级别划分和特征词指数,成功实现了网络舆情的实时动态检测和异常舆情的预警,成功捕捉到热门主题及其关键词,为高校舆情防控和利用提供了实证支持。
In order to realize the goal of dynamic monitoring and early warning of college students’ internet public opinion in the era of big data, the college students’ internet chat posts in recent years have been crawled from the Baidu Post Bar, to establish some indexes, including the internet public opinion index, warning level classification, and feature words index. It has successfully achieved the real-time dynamic detection of network public opinion and early warning of abnormal opinions, as well as hot topics and their relevant key words, which provides empirical support for the prevention and control of public opinion in colleges and universities.
作者
金慧峰
程振设
JIN Hui-feng;CHENG Zhen-she(Zhejiang Industry&Trade Vocational College,Wenzhou,325003,China)
出处
《浙江工贸职业技术学院学报》
2019年第4期57-62,共6页
Journal of Zhejiang Industry & Trade Vocational College
基金
2018年教学创新项目“软件技术专业现代学徒制探索与实践”(浙工贸[2018]61号)
2018年度党建研究课题重点项目“大数据时代高校学生网络舆情检测与预警机制研究”(浙工贸党办[2018]10号)
浙江省高校“十三五”优势专业建设项目(浙教高教[2016]164号)
关键词
大数据
大学生
网络舆情
检测
预警
big data
college student
network public opinion
detection
early warning
