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 >
