Text Mining Infrastructure in R

Ingo Feinerer, Kurt Hornik and David Meyer

Journal of Statistical Software, 2008, vol. 025, issue i05

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: 2008-03-31
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Citations: View citations in EconPapers (147)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:025:i05

DOI: 10.18637/jss.v025.i05

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