首页> 外文会议>The 2nd International Conference on Information Science and Engineering >Research on analysis technology of Internet Public Opinion based on topic cluster
【24h】

Research on analysis technology of Internet Public Opinion based on topic cluster

机译:基于主题聚类的互联网舆情分析技术研究

获取原文

摘要

Network has become the main vector of information dissemination, and, the information stored and transmitted in Internet can be reflected Internet Public Opinion in period. The Sensitive topic mining study on the Internet helps us understand the Internet public opinion trends. This paper studies method about search data cluster of Internet users with K-nearest neighbor and shortest path approaches. We first build an association search net, then, provide shortest path. It will help us analyze Internet user's search behavior and characteristics. Finally, we will discover the information dissemination pattern and guide Internet public opinion trends correctly.
机译:网络已经成为信息传播的主要载体,在互联网上存储和传输的信息可以在一定时期内反映出互联网舆论。 Internet上的敏感主题挖掘研究有助于我们了解Internet舆论趋势。本文研究了利用K近邻和最短路径方法研究Internet用户搜索数据集群的方法。我们首先建立关联搜索网络,然后提供最短路径。这将有助于我们分析互联网用户的搜索行为和特征。最后,我们将发现信息传播模式,并正确引导互联网舆论趋势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号