Thanks for the information Ted. For time being can you point to any other example which I can go through and understand. Actually I want to know how can I use mahout for text classification.
Will "naive bayes". be enough ? On Sat, Sep 25, 2010 at 5:16 AM, Ted Dunning <[email protected]> wrote: > There isn't a lot more documentation than that. There is a > forthcoming book by Grant called Taming Text that might help you and > the currently being written classification sections of the forthcoming > Mahout in Action book might be helpful. > > > On 9/24/10, Neil Ghosh <[email protected]> wrote: > > Is there any other examples/documents/reference how to use mahout for* > text > > classification. > > * > > I went through and ran the following > > > > > > 1. Wikipedia Bayes > > Example<https://cwiki.apache.org/MAHOUT/wikipedia-bayes-example.html>- > > Classify Wikipedia data. > > > > > > 1. Twenty > > Newsgroups<https://cwiki.apache.org/MAHOUT/twenty-newsgroups.html>- > > Classify the classic Twenty Newsgroups data. > > > > However these two are not much definitive and there aren't much > explanation > > for the examples .Please share if there are more documentation. > > > > Thanks > > Neil > > > -- Thanks and Regards Neil http://neilghosh.com
