2 citations · 3 across the 2 of their papers we have counts for
3 papers
Which Text Matters: Handling Model Uncertainty in Text-as-Data Regressions, with an Application to Central Bank Communication
Martin Feldkircher, Bernd Prostmaier, Paul Hofmarcher +1
Social scientists routinely convert text into covariates like topic shares, ideal points or sentiment scores, and insert them into statistical models of interest. This two-step des…
Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
Bernd Prostmaier, Jan Vávra, Bettina Grün +1
Topic models are widely used for discovering latent thematic structures in large text corpora, yet traditional unsupervised methods often struggle to align with pre-defined concept…
A Structural Text-Based Scaling Model for Analyzing Political Discourse
Jan Vávra, Bernd Hans-Konrad Prostmaier, Bettina Grün +1
Scaling political actors based on their individual characteristics and behavior helps profiling and grouping them as well as understanding changes in the political landscape. In th…