摘要
设计了一种基于云模型的高校网络舆情监控系统,该系统采用基于立即价值和未来价值综合评价的方式指导网页爬行策略,采用云模型指导爬行方向,同时通过正向和逆向云模型对主题网页进行聚类,并通过查询扩展技术提高网页查全率,取得了很好的实际应用效果。
Universities network public sentiment monitoring system based on cloud model is designed. In this system, a comprehensive evaluation approach based on immediate value and future value is used to guide web crawling strategy. Cloud model is used to guide crawling direction. Forward and backward cloud model is used to clustering topic page. Web recall rate is increased by query expansion. For above all, this system obtains a good practical application.
出处
《信息技术》
2014年第6期80-82,86,共4页
Information Technology
关键词
舆情
云模型
聚类
查询扩展
public sentiment
cloud model
clustering
query expansion
