Text Mining with R

TextMiningwithR

ATidyApproach

JuliaSilgeandDavidRobinson

TextMiningwithR

byJuliaSilgeandDavidRobinson

Copyright©2017JuliaSilge,DavidRobinson.Allrightsreserved.

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June2017:FirstEdition

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2017-06-08:FirstRelease

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Preface

Wedevelopedthetidytext(SilgeandRobinson2016)Rpackagebecausewe

werefamiliarwithmanymethodsfordatawranglingandvisualization,but

couldn’teasilyapplythesesamemethodstotext.Wefoundthatusingtidydata

principlescanmakemanytextminingtaskseasier,moreeffective,andconsistent

withtoolsalreadyinwideuse.Treatingtextasdataframesofindividualwords

allowsustomanipulate,summarize,andvisualizethecharacteristicsoftext

easily,andintegratenaturallanguageprocessingintoeffectiveworkflowswe

werealreadyusing.

Thisbookservesasanintroductiontotextminingusingthetidytextpackageand

othertidytoolsinR.Thefunctionsprovidedbythetidytextpackagearerelatively