[R] Classifying large text corpora using R

Daniel Malter daniel at umd.edu
Sat Sep 3 19:34:09 CEST 2011

Take a look here: http://www.jstatsoft.org/v25/i05/paper


andy1234 wrote:
> Dear everyone, 
> I am new to R, and I am looking at doing text classification on a huge
> collection of documents (>500,000) which are distributed among 300 classes
> (so basically, this is my training data). Would someone please be kind
> enough to let me know about the R packages to use and their scalability
> (time and space)? 
> I am very new to R and do not know of the right packages to use. I started
> off by trying to use the tm package (http://cran.r-project.org/package=tm)
> for pre-processing and FSelector
> (http://cran.r-project.org/web/packages/FSelector/index.html) package for
> feature selection - but both of these are incredibly slow and completely
> unusable for my task. 
> So the question is what are the right packages to use (for pre-processing,
> feature selection, and classification)? Please consider the fact that I
> may be dealing with data of millions of dimensions which may not even fit
> in memory. 
> I posted on this issue twice
> (http://r.789695.n4.nabble.com/Entropy-based-feature-selection-in-R-td3708056.html
> ,
> http://r.789695.n4.nabble.com/R-s-handling-of-high-dimensional-data-td3741758.html)
> but did not get any response. This is a very critical piece of my research
> and I have been struggling with this issue for a long time. Please
> consider helping me out, directly or by pointing me to any other
> software/website that you think may be more appropriate. 
> Many thanks in advance.

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