Word Clouds using Text Mining
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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:
Word Cloud Example
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