A Cluster Based Keyword Filtration Approach for Web Document Summarization

Abstract

Summarization, an extremely important technique in Data Mining is an automatic learning technique aimed to extract the most valuable information from a large size document or the articles. The goal is to create the summary of the document, but substantially different from each other. Text Document summarization refers to the summarization of text documents based upon their content. The proposed work is about to extract a summary from a large document, webpage or the email respective the occurrence of words, heading and their frequency.

Authors and Affiliations

Kirti Bhatia , Dr Rajendar Chhillar

Keywords

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  • EP ID EP140653
  • DOI -
  • Views 102
  • Downloads 0

How To Cite

Kirti Bhatia, Dr Rajendar Chhillar (2012). A Cluster Based Keyword Filtration Approach for Web Document Summarization. International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com, 12(3), 54-59. https://europub.co.uk/articles/-A-140653