基于信息挖掘的高校网络舆情监测系统开发

受网上各种信息的影响,高校大学生对社会诸多现象、现实和问题等反应敏感,易受到错误言论的蒙蔽和误导。针对高校网络舆情监测与预警手段方面的严重不足,开发了一个基于网络信息挖掘技术的高校网络舆情监测系统,系统利用网络蜘蛛技术、中文分词技术和文本聚类技术,通过对互联网信息进行采集、处理,舆情识别分析,实现了舆情热点与话题信息的推送与跟踪功能,可进一步分析舆情内容的观点与态度问题,筛选并判定各级别网络舆情的发生,从而进行公共危机和热点事件的监测和预警。

Development of Internet Public Opinion Monitoring System Based on the Information Mining in College

As the scale expansion of the Internet users of college,many college students are vulnerable to errors and misleading statements to deceive,in that they are sensitive to reality,phenomena,and problems of social.In order to improve Internet public opinion monitoring and early warning technical systems,this paper developed a Internet public opinion monitoring system based on the information mining technology in college,which adopted web spiders technology,the Chinese word segmentation technology,and text clustering technique.By the Internet information collecting,processing,public opinion recognition analyzing,the system can push and track the hot topic of the information with public opinion,can further analyzes of the contents of the public opinion and attitude to view,Screening and to judge the happening of different levels of public opinions,and thus can monitor and warn the public crisis and hot issues.This has an important application value and meaning for colleges and universities to make full use of network public opinion,strengthen propaganda and the management of the spread of information security,build a harmonious campus.