Structural topic models for enriching quantitative text analysis

In this tutorial, we introduce participants to structural topic models (STM) and the associated R package as a particular robust and fully-featured implementation of topic models that offers many advantages over standard LDA. We demonstrate how predictions made by STM may be systematically enriched by integrating contextual variables such as gender, activity and political leanings.

For more information regarding the tutorial and in time necessary files, you can visit the tutorial website of organizers Cornelius Puschmann and Carsten Schwemmer.