Text Mining Infrastructure in<i>R</i>

Ingo Feinerer, Kurt Hornik, David Meyer

Journal of Statistical Software · 2008 · 1.1K citations · 46 references

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Abstract

During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the <strong>tm</strong> 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.

References

46