GitHub - rspeer/text-as-data at da8bc9d0af145a79402a0568a76d6065178bc403

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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 6 Commits
html		html
src		src
1 - Word splitting.md		1 - Word splitting.md
2 - Interesting n-grams.md		2 - Interesting n-grams.md
3 - Movie review classifier.md		3 - Movie review classifier.md
4 - Similarity over movie reviews.md		4 - Similarity over movie reviews.md
5 - WordNet.md		5 - WordNet.md
6 - ConceptNet.md		6 - ConceptNet.md
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?".

To see the code and its output as it appeared during the talk, you can click
on any of the .md files on GitHub. Or, if you've downloaded this repository,
you can look at the .html files.

The "src" directory contains the actual code. The .ipynb files are the
interactive IPython notebooks.  The .py versions of the files will run in
ordinary Python, and just have oddly-formatted comments from IPython that you
can disregard.