(This article was first published on

**Software for Exploratory Data Analysis and Statistical Modelling » R Environment**, and kindly contributed to R-bloggers)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:

To

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