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Data Mining with R - Text Mining

data Mining with RText MiningHugh Murrellreference booksThese slides are based on a book by Yanchang Zhao:R and data Mining : Examples and Case further background try Andrew Moore s slides from: as always,wikipediais a useful source of miningThis lecture presents examples of text Mining with extract text from the BBC s webpages on Alastair Cook sletters from America. The extracted text is then transformedto build a term-document words and associations are found from the matrix. Aword cloud is used to present frequently occuring words and transcripts are clustered to find groups of wordsand groups of this lecture,transcriptanddocumentwill be usedinterchangeably, so Mining packagesmany new packages are introduced in this lecture:Itm: [Feinerer, 2012] provides functions for text Mining ,Iwordcloud[Fellows, 2012] visualizes [Christian Hennig, 2005] flexible procedures [Gabor Csardi , 2012] a library and R package fornetwork text from the BBC websiteThis work is part of the Rozanne Els PhD projectShe has written a script to download transcripts direct fromthe results are

text mining packages many new packages are introduced in this lecture: I tm: [Feinerer, 2012] provides functions for text mining, I wordcloud [Fellows, 2012] visualizes results. I fpc [Christian Hennig, 2005] exible procedures for clustering. I igraph [Gabor Csardi , 2012] a library and R package for network analysis.

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