Announcing a fast, cross-platform implementation of latent Dirichlet allocation (LDA) in Python
Announcement of a series of Python-based tutorials on text analysis and topic modeling
Demonstrates how to bet on sparsity using PyStan and the Horseshoe prior.
Describes a simple "topic model" for those new to Bayesian inference.
Draft version of "How to Read 22,198 Journal Articles: Studying the History of German Studies with Topic Models".
Slides and links related to my presentation at the 21st St. Louis Symposium on German Literature at Washington University.
Tracking down surviving British novels (1800-1836)
Are there hidden cycles in literary production in the 18th and 19th centuries? Have literary historians missed telltale repetitions of certain literary forms?