RTextTools v1.1 Released

(This article was first published on RTextTools: a machine learning library for text classification - Blog, and kindly contributed to R-bloggers)

A major upgrade of RTextTools has been released, including many optimizations, UI changes, and features based on feedback from the 2011 CAP Conference in Catania. Changes include the addition of a new low-memory algorithm GLMNET, full user documentation, simplification of the user interface, bundled datasets, better analytics for both virgin and non-virgin data classification, and simpler installation.

Give the latest release a spin and let us know what you think! Head over to the Install RTextTools page for installation instructions, and then read the quick-start guideview the documentation or download the example scripts to get started.

Please note that previous users of RTextTools will need to remove the maxent library prior to installation, as the library has been largely re-written and is now available via CRAN.

To leave a comment for the author, please follow the link and comment on their blog: RTextTools: a machine learning library for text classification - Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...


Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)