摘要
随着社交网络和社会媒体等互联网应用服务迅猛发展,越来越多的人通过互联网发布信息和表达观点,用户的浏览、关注、转发、评论等行为在互联网空问留下了丰富的数字足迹,用户的所言所行积累下了丰富的网络大数据。利用网络大数据,筛选出对政府工作的观点信息,并对观点进行倾向性分析,得出公众对政府工作的真实态度,可以有效地了解民意,并且根据可靠反应来对政府工作进行相应的调整和改善,最终达到为政府提供有效准确信息,提高公众对其满意度。
With the rapid development of social network and social media websites,numerous users begin to delivery information and opinions on Internet.Huge Web data is accumulated,recording users＇ behaviors and public opinions,e.g,comments,browsing behaviors,forwarding behaviors,and social relationships.Therefore,selecting the public views on a public policy,and then analyzing the sentimental orientation,can help to learn effective understanding of the public opinion,and to adjust and improve public policy according to the reliable reaction,in the end to provide the government with the purpose of effective information,and help improve public satisfaction.
出处
《微型电脑应用》
2016年第7期53-55,63,共4页
Microcomputer Applications
关键词
舆情监测
爬虫系统
倾向性分析
Public Opinion Monitoring
Crawler System
Sentimental Orientation
