metadata
language: de
license: mit
datasets:
- Wahl-o-Mat
- Wahlprogramme
widget:
- text: 'cdu/csu: kohlekraftwerke sollten verboten werden'
example_title: Predict whether CDU/CSU would like to forbid coal-fired power plants
- text: 'grüne: geflüchtete weiter aufnehmen'
example_title: Predict whether grüne are positive to accept refugees
- text: 'die linke: vier tage woche'
example_title: Predict if 'die Linke' wants people to work 4 instead of 5 days per week
GermanPolitical-Gelectra-base
Released May 2022, we fine-tuned the german electra model pre-trained by german-nlp-group (orginal model can be found at 'german-nlp-group/electra-base-german-uncased') to classify political sentiment of popular german parties. Supported parties at the moment are "CDU/CSU", "SPD", "FDP", "Grüne", "Die Linke", "AfD".
Overview
Architecture: Gelectra-base (uncased)
Language: German
Datasets & Methodology
For more information about data and methodology visit: https://www.wahl-o-bot.de/Methodik
Production
The model can be used for free at https://www.wahl-o-bot.de
Authors
Feel free to contact us about questions or feedback. We are always happy to help.
- Maximilian Witte:
maximilian.witte@uni-hamburg.de - Jasper Schwenzow:
jasper.schwenzow@uni-hamburg.de - Mark Heitmann:
mark.heitmann@uni-hamburg.de - Matthias Assenmacher:
matthias@stat.uni-muenchen.de
The model is built in collaboration of the University of Hamburg and Ludwig Maximilians University Munich.