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Authors: Ingo Feinerer, Kurt Hornik, David Meyer
Title: [download]
(65989)
Text Mining Infrastructure in R
Reference: Vol. 25, Issue 5, Mar 2008
Submitted 2007-09-05, Accepted 2008-02-10
Type: Article
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.

Paper: [download]
(65989)
Text Mining Infrastructure in R
(application/pdf, 685.3 KB)
Supplements: [download]
(4148)
tm_0.3.tar.gz: R source package
(application/x-gzip, 569.6 KB)
[download]
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v25i05.R: R example code from the paper
(text/plain, 25.8 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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