957 citations · 1.3k across the 29 of their papers we have counts for
3 papers · 1 filter
Text-Based Ideal Points
Keyon Vafa, Suresh Naidu, David M. Blei
Ideal point models analyze lawmakers' votes to quantify their political positions, or ideal points. But votes are not the only way to express a political position. Lawmakers also g…
The Dynamic Embedded Topic Model
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
Topic modeling analyzes documents to learn meaningful patterns of words. For documents collected in sequence, dynamic topic models capture how these patterns vary over time. We dev…
Structured Embedding Models for Grouped Data
Maja Rudolph, Francisco Ruiz, Susan Athey +1
Word embeddings are a powerful approach for analyzing language, and exponential family embeddings (EFE) extend them to other types of data. Here we develop structured exponential f…