Design of Hot Issue Founding System Based on Tibetan Web
Hui Cao, Xiao Bing Han · Applied Mechanics and Materials · 2013
This paper designs a hot issue Founding system based on the news pages of Tibetan website, which can automatically find the issue on the network at any period of time. Through characteristics judgments of hot issues, and will present the conditions of issue meeting to the user. Because of large-scale corpus, and hot issues for demanding high real-time, then the system divided into groups according to days, and using agglomerative clustering to cluster daily corpus, and the corpus of the selected period of time using Single -pass clustering to get issue list, then order the issues through heat calculation. Finally, through testing Tibetan corpus in 2011, shows that the system has achieved good results, and with higher value.