Text Mining Infrastructure in R
During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the <strong>tm</strong> package which provides a framework for text mining applications within R. We give a survey on text mining facilities in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysis methods, text clustering, text classification and string kernels.
Year of publication: |
2008-03-31
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Authors: | Feinerer, Ingo ; Hornik, Kurt ; Meyer, David |
Published in: |
Journal of Statistical Software. - American Statistical Association. - Vol. 25.2008, i05
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Publisher: |
American Statistical Association |
Saved in:
Saved in favorites
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