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How To Build A Text Mining Machine Learning Document Classification System In R

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Text data requires special preparation before you can start using it for predictive modeling.The text must be parsed to remove words, called tokenization.Then the words need to be encoded as integers or floating point values for use as input to a machine learning algorithm, called feature extraction or vectorization.The scikit-learn library offers.

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