Ranking Through Clustering for Webdocument Using Semantic Similarity

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.

Find By Topic