 |
 |
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 >