Distant Reading of the German Coalition Deal: Recognizing Policy Positions with BERT-based Text Classification
This work addresses the need for automated policy position recognition in political science, but it is incremental as it applies an existing method to new data.
The researchers tackled the problem of identifying individual parties' contributions to the 2021 German coalition agreement by using a BERT model trained on German party manifestos, achieving automated text analysis for political science applications.
Automated text analysis has become a widely used tool in political science. In this research, we use a BERT model trained on German party manifestos to identify the individual parties' contribution to the coalition agreement of 2021.