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Naive bayesian text classifier - documentation

A memory-based, optional-persistence naive bayesian text classifier. This work is heavily inspired by the Python "redisbayes" module found here: https://github.com/jart/redisbayes and https://pypi.python.org/pypi/redisbayes This was written to alleviate the network/time requirements when using the bayesian classifier to classify large sets of text, or when attempting to train with very large sets of sample data.

This is the common documentation package.

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