Abstract

Multi-document summarization is an automatic procedure aimed at extraction of infor-mation from multiple texts written about the same topic. Resulting summary report al-lows individual users, such as professional information consumers, to quickly familiar-ize themselves with information contained in a large cluster of documents. This pro-posed work CBRS (Cluster Based Ranking with Significance) summarizes the multi document with semantic meaning of the terms in the documents. Such that it produces a good results while clustering and ranking with retrieving document. As a clustering result to improve or refine the sentence ranking results. The effectiveness of the pro-posed approach is demonstrated by both the cluster quality analysis and the summari-zation evaluation conducted on our simulated datasets.

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