Abstract:

Based on an analysis of a large number of Chinese reports,this paper proposes a topic detection algorithm to improve similarity.This algorithm is based on the Single-Pass clustering technique.According to the location information of the news reports,the content-based similarity and location-based similarity are measured and combined to realize topic detection.Experimental results indicate that the algorithm is superior to the traditional text similarity algorithm.

Key words: topic detection;location information;similarity