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potter

Using NLTK to run an analysis on the Harry Potter corpus - talk at Codeland 2018 in NYC.

Thank you for visiting the repo!

If you want to see a walk through of all of the code, check out the bossy.ipnb file.

This project formed the basis of talks at:

This blog post is a narrative of the inspiration for the talk and the process. New posts with explanations of the code will be available shortly.

The slides (in Keynote, with animations!) are available here.

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Using NLTK to run an analysis on the Harry Potter corpus - different versions of this talk were given at Codeland in NYC and DjangoCon US in San Diego in 2018.

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  • Jupyter Notebook 98.6%
  • Python 1.4%