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.
Original language | English |
---|---|
Pages (from-to) | 1 - 54 |
Journal | Journal of Statistical Software |
Volume | 25 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2008 |