Take a look here: http://www.jstatsoft.org/v25/i05/paper
HTH, Da. 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. > -- View this message in context: http://r.789695.n4.nabble.com/Classifying-large-text-corpora-using-R-tp3786787p3788196.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
