thors: | Ingo Feinerer, Kurt Hornik, David Meyer |
Title: | Text Mining Infrastructure in R |
Abstract: | During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tmpackage 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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Page views:: 105581. Submitted: 2007-09-05. Published: 2008-03-31.
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Paper: | Text Mining Infrastructure in R [size=1em]Download PDF (Downloads: 105019)
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Supplements: | tm_0.3.tar.gz: R source package | [size=1em]Download(Downloads: 5677; 569KB) | v25i05.R: R example code from the paper | [size=1em]Download(Downloads: 10196; 25KB) |
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DOI: | 10.18637/jss.v025.i05 |
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