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These are a series of Jupyter notebooks from a class on Computational Content Analysis at the university of Chicago.

To use them follow the following steps:

1. Install Python 3 and Jupyter, we recommend using the Anaconda distribution found here
2. Download the notebooks and data from GitHub
3. Unzip the files and open a terminal in the directory
4. Install the requirements pip install -U -r requirements.txt
5. Start the Jupyter Notebook server jupyter notebook

The notebooks are:

1. Intro
2. Corpus Linguistics
3. Clustering and Topic Modeling
4. Word Embedding
5. Reliability
6. Classification
7. Information Extraction
8. Semantic Networks
9. Beyond Text

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