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Approach to extracting hot topics based on network traffic content
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作者 Yadong ZHOU Xiaohong GUAN +2 位作者 qindong sun Wei LI Jing TAO 《Frontiers of Electrical and Electronic Engineering in China》 CSCD 2009年第1期20-23,共4页
This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correla... This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correlation of the popular words in traffic content and network flow characteristics as input for extracting popular topics on the Internet.Based on this,this article adapts a clustering algorithm to extract popular topics and gives formalized results.The test results show that this method has an accuracy of 16.7%in extracting popular topics on the Internet.Compared with web mining and topic detection and tracking(TDT),it can provide a more suitable data source for effective recovery of Internet public opinions. 展开更多
关键词 hot topic extraction network traffic content Internet public opinion analysis
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