There was an interesting post on a blog which showed how straightforward it is to use the text mining tools (tm) from R along with the wordcloud package to create Word Clouds.
Following the example from this page I processed the text of the Golden Asse book (found at Project Guttenberg) to generate a word cloud.
aFile = readLines("goldenasse.txt") library(tm) myCorpus = Corpus(VectorSource(aFile)) myCorpus = tm_map(myCorpus, tolower) myCorpus = tm_map(myCorpus, removePunctuation) myCorpus = tm_map(myCorpus, removeNumbers) myCorpus = tm_map(myCorpus, removeWords, stopwords("english")) myDTM = TermDocumentMatrix(myCorpus, control = list(minWordLength = 1)) m = as.matrix(myDTM) v = sort(rowSums(m), decreasing = TRUE)
The word cloud is simple to generate:
library(wordcloud) set.seed(4363) wordcloud(names(v), v, min.freq = 50)
and we get the following: