Text Mining Infrastructure in R

Ingo Feinerer, Kurt Hornik, David Meyer

Publication: Scientific journalJournal articlepeer-review

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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 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 languageEnglish
Pages (from-to)1 - 54
JournalJournal of Statistical Software
Volume25
Issue number5
DOIs
Publication statusPublished - 2008

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