GitHub - rspeer/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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html		html
src		src
.gitignore		.gitignore
README		README
requirements.txt		requirements.txt
text-as-data-slides.pdf		text-as-data-slides.pdf
text-as-data-slides.pptx		text-as-data-slides.pptx

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

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.

Running the code
================
1. Use virtualenv:
   virtualenv-2.7 venv
   . venv/bin/activate
2. Install the required python libraries:
  pip install -r requirements.txt
3. Download the NLTK input data:
  ipython
  import nltk
  nltk.download()