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  • 标题:NEW APPROACH OF TEXT MINING IN R
  • 本地全文:下载
  • 作者:Shrabanti Mandal ; Anita Pal
  • 期刊名称:Computer Sciences and Telecommunications
  • 印刷版ISSN:1512-1232
  • 出版年度:2015
  • 卷号:45
  • 期号:1
  • 页码:30-36
  • 出版社:Internet Academy
  • 摘要:During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. Text mining refers to the process of parsing a selection or corpus of text in order to identify certain aspects, such as the most frequently occurring word or phrase. The package named tm is available for text mining applications in R. tm package provides many important functions which are very efficiently handle the text mining. Here we try to append a method to this package for text correction & that helps us to create error free term-document matrix.
  • 关键词:Text mining; tm package; term-document matrix
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