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The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques.

Mathematica packages and related documents for the implementation and use of Machine Learning and Statistical algorithms used for prediction and personalization. Here is a closely related blog : https://mathematicaforprediction.wordpress.com .