Text Mining Infrastructure in R

  • Feinerer I
  • Hornik K
  • Meyer D
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During the last decade text mining has become a widely used discipline utilizing sta- tistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining facili- ties in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysismethods, text clustering, text classification and string kernels.

Author-supplied keywords

  • count based evaluation
  • r
  • string
  • text classification
  • text clustering
  • text mining

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  • Ingo Feinerer

  • Kurt Hornik

  • David Meyer

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