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Text Mining Infrastructure inR
Author(s) -
Ingo Feinerer,
Kurt Hornik,
David Meyer
Publication year - 2008
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v025.i05
Subject(s) - computer science , cluster analysis , string (physics) , data mining , text mining , data science , artificial intelligence , mathematics , mathematical physics
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.

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