GitHub - vkushwaha/text-as-data: A PyData 2013 talk on straightforward, data-driven ways to handle natural language text in Python.

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A PyData 2013 talk on straightforward, data-driven ways to handle natural language text in Python.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
1 - Word splitting.ipynb		1 - Word splitting.ipynb
1 - Word splitting.py		1 - Word splitting.py
2 - Interesting n-grams.ipynb		2 - Interesting n-grams.ipynb
2 - Interesting n-grams.py		2 - Interesting n-grams.py
3 - Movie review classifier.ipynb		3 - Movie review classifier.ipynb
3 - Movie review classifier.py		3 - Movie review classifier.py
4 - Similarity over movie reviews.ipynb		4 - Similarity over movie reviews.ipynb
4 - Similarity over movie reviews.py		4 - Similarity over movie reviews.py
5 - WordNet.ipynb		5 - WordNet.ipynb
5 - WordNet.py		5 - WordNet.py
6 - ConceptNet.ipynb		6 - ConceptNet.ipynb
6 - ConceptNet.py		6 - ConceptNet.py
README		README
text-as-data-slides.pdf		text-as-data-slides.pdf

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This repository contains the code accompanying my PyData 2013 talk, "How does
text become data?".

The code is meant to be run interactively in an IPython Notebook. The .py
versions of the files, though, will run in ordinary Python, and just have
oddly-formatted comments from IPython that you can disregard.