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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

Methodology for model

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