articleJournal of Statistical SoftwareJan 1, 2008DIAMOND OA

Text Mining Infrastructure in R

Vienna University of Economics and Business

Indexed incrossrefdoaj

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.

Citation impact

1,140
total citations
FWCI
29.76
Percentile
100%
References
78
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Cluster analysis
  • String (physics)
  • Data mining
  • Text mining
  • Data science
  • Artificial intelligence
  • Mathematics
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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