Simple Text Mining with R

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I’ve used R for many use cases and Text Mining is one of those. Below is a small snippet to get you started with R and Text Mining.
require(fortunes) require(tm) sentences <- NULL for (i in 1:10) sentences <- c(sentences,fortune(i)$quote) d <- data.frame(textCol =sentences ) ds <- DataframeSource(d) dsc<-Corpus(ds) dtm<- DocumentTermMatrix(dsc, control = list(weighting = weightTf, stopwords = TRUE)) dictC <- Dictionary(dtm) # The query below is created from words in fortune(1) and fortune(2) newQry <- data.frame(textCol = "lets stand up and be counted seems to work undocumented") newQryC <- Corpus(DataframeSource(newQry)) dtmNewQry <- DocumentTermMatrix(newQryC, control = list(weighting=weightTf,stopwords=TRUE,dictionary=dict1)) dictQry <- Dictionary(dtmNewQry) # Below does a naive similarity (number of features in common) apply(dtm,1,function(x,y=dictQry){length(intersect(names(x)[x!= 0],y))})


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