Topic detection research based on content analysis
Haochang Wang · Ha'erbin gongye daxue xuebao · 2006
Based on the analysis of lots of English stories, we propose a Content Analysis-based topic detection algorithm,which aims to solve the problem existing in the topic detection research,which is difficult to detect two distinct train or explosion accidents as different events.Based on Single-Pass clustering technique,using Content Analysis,the algorithm expresses topics as two centroids: identifier centroid and content centroid.Experiment results prove that Content Analysis-based topic detection algorithm is not only easy,but also effective on solving the difficult-to-distinguish problem.