Text Mining Infrastructure in R

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Authors Ingo Feinerer, Kurt Hornik, David Meyer
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper Abstract During the last decade text mining has become a widely used discipline utilizing statistical 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 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.
Date of publication 2008
Code Programming Language R
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