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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.
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Feinerer et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69da28e900ab073a27838107 — DOI: https://doi.org/10.18637/jss.v025.i05
Ingo Feinerer
Kurt Hornik
David Meyer
Journal of Statistical Software
Vienna University of Economics and Business
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