I am looking for libraries that implement well know techniques (Naive-   
   Bayes, SVM, Fisher etc) for text classification, clustering. A few I   
   came across are Orange(http://www.ailab.si/orange), Rainbow(http://   
   www.cs.cmu.edu/~mccallum/bow/rainbow/), LIBSVM(http://   
   www.csie.ntu.edu.tw/~cjlin/libsvm/). I have some problems with these.   
   Regarding scale, I am trying to classify documents which have over   
   100000 features, 100000 items and 1000 categories.   
   Orange: Scope of techniques covered is good, scalability is a blocking   
   issue   
   Rainbow: Buggy, tried to patch a couple but still there are   
   impediments, for e.g., can't even run SVM   
   LIBSVM: Haven't tried yet on my data.   
      
   I am wondering if there are other libraries (free, commercial).   
      
   Thanks,   
   Krishna   
      
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