HOTSPOT-FINDING ALGORITHM ABOUT PUBLIC OPINIONS ON NETWORK

摘要：

The explosion of network information resources brings more difficulty for the grasp of information. To effectively control massive data and extract hot information, we designed hotspot-finding Algorithm about public opinion on network. The algorithm classifies the various categories by using the method of calculating their similarity of Centra, then detects hotspot from every category through the Centre comparison strategy and finally lists all the hotspots in every category according to the attentions they get. This provides an effective analysis for people to grasp public opinions on network.

关键词： Public opinions on network Hotspot-finding Feature extraction Vector Space Model

作者: ZHIQIONG WAN XINGHUA LI YANG WANG CHANG YANG

作者单位: Editorial Department of Journal Yunnan Nationalities University College of Electronic Engineering Naval University of Engineering Department of Computer Management Chuxiong Normal University

会议类型: 国际会议

会议名称: 3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)

会议地点: 大连

会议语种:英文

页码: 149-153

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）