This repository provides a Python implementation which applies topic modelling to literary interviews from The Paris Review, as described in the following paper:
Greene, Derek, James O'Sullivan, and Daragh O'Reilly. "Topic Modelling Literary Interviews from The Paris Review."
Digital Scholarship in the Humanities 39.1 (2024): 142-153. https://doi.org/10.1093/llc/fqad098.
The notebooks provided here can be used to run the experiments described in our paper. The original articles are available separately from The Paris Review and should be added to the directory 'data/raw'.
The code has been tested in Python 3.9-3.11, and requires the following packages:
- NumPy
- Scikit-learn
- Gensim
- Pandas
- Matplotlib