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  • 标题:Test Model for Text Categorization and Text Summarization
  • 本地全文:下载
  • 作者:Khushboo Thakkar ; Urmila Shrawankar
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:4
  • 页码:1539-1545
  • 出版社:Engg Journals Publications
  • 摘要:Text Categorization is the task of automatically sorting a set of documents into categories from a predefined set and Text Summarization is a brief and accurate representation of input text such that the output covers the most important concepts of the source in a condensed manner. Document Summarization is an emerging technique for understanding the main purpose of any kind of documents. This paper presents a model that uses text categorization and text summarization for searching a document based on user query.
  • 关键词:text Categorization; text Summarization; clustering; TextRank; QDC; base clusters
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