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.
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