Ranking With Cluster-Based Non-Segregated Approach to Multi-Document Categorization

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
To summarization of one or more document aims to create a strong summary while retaining the main characteristics of the original set of documents. To cover a number of topic with each theme represented by a cluster of highly related sentences. Sentence clustering is used; it directly generates clusters integrated with ranking. Ranking distribution for sentence in each and every cluster is different in nature which may serve as features of clusters and new clustering measures of sentences can be calculated.

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