When it comes down to it R does a really good job handling structured data like matrices and data frames. However, its ability to work with unstructured data is still a work in progress. It can and it does handle text mining but the documentation is incomplete and the capabilities still don’t compare to other
Here is a simple application to transform text into a beautiful word cloud, Text Mining to WordCloud. The purpose is to find out the highest frequency word in a certain text. It is an app built with R language, the source code is attached at the end of...
This post shows an example on text mining of Twitter data with R packages twitteR, tm and wordcloud. Package twitteR provides access to Twitter data, tm provides functions for text mining, and wordcloud visualizes the result with a word cloud. … Continue reading →
After a week as SAS Gobal Forum, I've been pretty excited about some of the text mining presentations that I got to see. I couldn't wait to get back to work to at least try something. After getting home I found a tweet from @imusicmash sharing a post from the Heuristic Andrew blog that shared text...
Videos from the October meeting “Text Mining with R” of the Los Angeles R users group:Rob Zinkov, “Text Mining with R”:Ryan Rosario, “Accessing R from Python using RPy2″:
A recent question over at BioStar asked whether abstracts returned from a PubMed search could easily be visualised as “word clouds”, using Wordle. This got me thinking about ways to solve the problem using R. Here’s my first attempt, which demonstrates some functions from the RCurl and XML packages. update: corrected a couple of copy/paste 
Romain Francois on his blog posted a very useful function to search through the R mailing list archives. Take a look at it here. Take also a look at the tm package introduced in R News, 8(2):19–22, Oct. 2008 with an example dealing with analysi...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
