TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences

TAToM: Text Analysis with Topic Models for the Humanities and Social Sciences consists of a series of tutorials that introduce basic procedures in quantitative text analysis with a particular focus on the preparation of a text corpus for analysis and on exploratory analysis using topic models and machine learning.

Building

The project relies heavily on the ipython Sphinx directive, which is somewhat fragile.

Building the documentation may be accomplished by the following sequence of commands. Python 3.3 or higher is required.

1. Install required packages:

   pip install -r requirements.txt

2. Build the documentation:

   make html