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Text Mining Infrastructure in R

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 classiffication and string kernels. (authors' abstract)

Identiferoai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3978
Date31 March 2008
CreatorsMeyer, David, Hornik, Kurt, Feinerer, Ingo
PublisherAmerican Statistical Association
Source SetsWirtschaftsuniversität Wien
LanguageEnglish
Detected LanguageEnglish
TypeArticle, PeerReviewed
Formatapplication/pdf
RightsCreative Commons: Attribution 3.0 Austria
Relationhttp://www.jstatsoft.org/v25/i05, http://www.foastat.org/, https://www.jstatsoft.org/about/editorialPolicies#openAccessPolicy, http://epub.wu.ac.at/3978/

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