readme: ---
  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
  ![Methodology for model](https://www.wahl-o-bot.de/img/Method.315efe28.jpg)
  
  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. 
  
  https://www.bwl.uni-hamburg.de/ci.html