Topic detection based on keyword
Liang Yue, Xueqiang Lv, Shibin Xiao, Tao Wang · 2011
Topic Detection is a sub-task of Topic Detection and Tracking, its main task is to find and organize topics that system didn't know. By analyzing hundreds of website news reports, we find that usually there exist some keywords in text, and early study didn't pay enough attention to this, we propose a topic detection algorithm according this. The algorithm is based on K-means clustering algorithm, choose keywords and enhance the weight of keywords. Experiment proves it can improve the efficiency of system.