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Preprocess text for NLP (tokenizing, lowercasing, stemming, sentence splitting, etc.)

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pytextpreprocess
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written by Joseph Turian
released under a BSD license

Preprocess text for NLP (tokenizing, lowercasing, stemming, sentence splitting, etc.)

REQUIREMENTS:
    * My Python common library:
        http://github.com/turian/common
    and sub-requirements thereof.
    * NLTK, for word tokenization
        e.g.
            apt-get install python-nltk

    * Splitta if you want to sentence tokenize

The English stoplist is from:
    http://jmlr.csail.mit.edu/papers/volume5/lewis04a/a11-smart-stop-list/english.stop
However, I added words at the top (above "a").

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