3 papers
stat.ME2025
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…
stat.ME2025
Evolving Voices Based on Temporal Poisson Factorisation
Jan Vávra, Bettina Grün, Paul Hofmarcher
The world is evolving and so is the vocabulary used to discuss topics in speech. Analysing political speech data from more than 30 years requires the use of flexible topic models t…
stat.ME2024
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…