Feinerer, Ingo and Hornik, Kurt and Meyer, David. 2008. Text Mining Infrastructure in R. Journal of Statistical Software 25 (5): S. 1-54.
BibTeX
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.
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| 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 |
Associations
- People
- Hornik, Kurt (Details)
- Meyer, David (Former researcher)
- External
- Feinerer, Ingo (Austria)
- Organization
- Institute for Statistics and Mathematics IN (Details)
- Institute for Information Systems and Society IN (Details)
- Research Institute for Computational Methods FI (Details)