Summarization for Internet News Based on Clustering Algorithm

Abstract

For the explosion of information in the World Wide Web, this paper proposed a new method of summarization for Internet news based on clustering algorithm. It used google search engine to extract relevant documents, and mixed query sentence into sentences set which segmented from relevant document set, then this paper adopted effective cluster algorithm to cluster all the sentences. In the period of summary generation, the summary sentences were extracted by turns from the clusters which query sentence in. Experimental result shows that the proposed summarization method can improve the performance of summary, clustering algorithm is effective.