文章基本信息

标题：A CLUSTER BASED KEYWORD FILTRATION APPROACH FOR WEB DOCUMENT SUMMARIZATION
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作者：Kirti Bhatia ; Dr Rajendar Chhillar
期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2012
卷号：12
期号：3
出版社：Imperial Foundation
摘要：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.
关键词：Summarization; Mining; Document; Feature Selection; Clustering