TemaTres Keyword Extactor is tool to  automatic categorization of
texts based on supplied controlled vocabularies. Is a php tool to
extract terms from a text and use it to obtain keywords from a
specific controlled vocabulary. Use the terminological web services
provided by TemaTres.
does not include a learning algorithm .
TemaTres Keyword Extactor does not include a learning machine :( ...
(is a great idea :)) ... use yahoo key extraction service or local
script.

Here can see a demo: http://vocabularyserver.com/distiller/

LTER implementation: http://vocab.lternet.edu/keywordDistiller/

Download:
http://sourceforge.net/projects/tematreskeyword/

best regards

diego ferreyra



2011/11/28 Thomas Krichel <[log in to unmask]>:
>  Peter Neish writes
>
>> Just wondering if anyone has any recommendations for systems that will do
>> automatic content classification through machine learning?
>
>  I use LibSVM in AuthorClaim (http://authorclaim.org) and
>  svm_light in NEP (http://nep.repec.org). I found both very helpful.
>  I would switch to LibSVM in NEP since it LibSVM is still
>  actively being developed. Just using a simple binary term
>  weighing scheme and default SVM parameters should get you a
>  long way.
>
>
>  Cheers,
>
>  Thomas Krichel                    http://openlib.org/home/krichel
>                                      http://authorprofile.org/pkr1
>                                               skype: thomaskrichel
>