[This article was first published on Software for Exploratory Data Analysis and Statistical Modelling » R Environment, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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
To leave a comment for the author, please follow the link and comment on their blog: Software for Exploratory Data Analysis and Statistical Modelling » R Environment.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.