Quotation Feinerer, Ingo and Hornik, Kurt and Meyer, David. 2008. Text Mining Infrastructure in R. Journal of Statistical Software 25 (5): S. 1-54.




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.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Journal of Statistical Software
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Text Mining Infrastructure in R
Volume 25
Number 5
Year 2008
Page from 1
Page to 54
Reviewed? Y
URL http://www.jstatsoft.org/v25/i05/paper
DOI http://dx.doi.org/10.18637/jss.v025.i05


Hornik, Kurt (Details)
Meyer, David (Former researcher)
Feinerer, Ingo (Austria)
Institute for Statistics and Mathematics IN (Details)
Institute for Information Systems and Society IN (Details)
Research Institute for Computational Methods FI (Details)
Google Scholar: Search