Topic Modeling JSTOR DFR Data with Python

What is this in plain English?

This is a step by step tutorial for creating topic models from data obtained from JSTOR's Data For Research platform. The tutorial comes in the form of a Jupyter Notebook and uses the Gensim topic modeling library for Python.

Example

You can see a static version of the tutorial on Github here.

Install Instructions

1. You need to have Python and Gensim installed. I recommend using the Anaconda Python Platform
2. Clone or download this repository
3. ...
4. Run it?