Topic Detection Technique Based on Text Mining
Ni Gao, Mingquan Zhou, Geng Guohua, Xuesong Wang, Yiyue He · Jisuanji gongcheng · 2009
【Abstract】On basis of analyzing the character of disasters news, a topic detection technique based on text mining is proposed, which uses Group Average Clustering(GAC) algorithm to organize the disasters news materials, generate the news special topics, provide the personality service, and shape the whole system. The similarity computing model based on both weight vectors of time and place and dynamic threshold model based on time are introduced. Experimental results show this algorithm can obtain better performance. 【Key words】topic detection and tracking; hierarchical clustering; text mining; dynamic threshold