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--- |
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language: de |
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license: mit |
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datasets: |
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- Wahl-o-Mat |
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- Wahlprogramme |
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widget: |
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- text: "cdu/csu: kohlekraftwerke sollten verboten werden" |
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example_title: "Predict whether CDU/CSU would like to forbid coal-fired power plants" |
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- text: "grüne: geflüchtete weiter aufnehmen" |
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example_title: "Predict whether grüne are positive to accept refugees" |
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- text: "die linke: vier tage woche" |
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example_title: "Predict if 'die Linke' wants people to work 4 instead of 5 days per week" |
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--- |
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# GermanPolitical-Gelectra-base |
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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. |
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Supported parties at the moment are "CDU/CSU", "SPD", "FDP", "Grüne", "Die Linke", "AfD". |
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## Overview |
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**Architecture:** Gelectra-base (uncased) |
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**Language:** German |
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## Datasets & Methodology |
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For more information about data and methodology visit: https://www.wahl-o-bot.de/Methodik |
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## Production |
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The model can be used for free at https://www.wahl-o-bot.de |
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## Authors |
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Feel free to contact us about questions or feedback. We are always happy to help. |
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* Maximilian Witte: `[email protected]` |
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* Jasper Schwenzow: `[email protected]` |
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* Mark Heitmann: `[email protected]` |
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* Matthias Assenmacher: `[email protected]@muenchen.de` |
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The model is built in collaboration of the University of Hamburg and Ludwig Maximilians University Munich. |
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https://www.bwl.uni-hamburg.de/ci.html |
