Ranking Through Clustering for Webdocument Using Semantic Similarity

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Provided by: International Journal of Advanced Research in Computer Science & Technology (IJARCST)
Topic: Data Management
Format: PDF
Multi-document summarization is a set of documents on the same topic, the output will be a paragraph length summary. So the documents often cover a number of topic themes with each theme represented by a clustering of highly related sentences, sentence cluster has been explored in order to provide more informative summaries. An existing cluster-based ranking approach that directly generates clusters integrated with ranking. The authors proposed an integrated approach that overcomes the drawback that they provide ranking for same meaning of different words.
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