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.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1 - 54 |
| Fachzeitschrift | Journal of Statistical Software |
| Volume | 25 |
| Ausgabenummer | 5 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2008 |
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