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chkla
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parlbert-topic-german

Text Classification
Transformers
PyTorch
Safetensors
German
bert
text-embeddings-inference
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  🏷 **Model description**
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- This model was trained on \~10k manually annotated interpellations (📚 [Breunig/ Schnatterer 2019](https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198835332.001.0001/oso-9780198835332)) with topics from the [Comparative Agendas Project](https://www.comparativeagendas.net/datasets_codebooks) to classify text into one of twenty labels (annotation codebook).
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  _Note: "Interpellation is a formal request of a parliament to the respective government."([Wikipedia](https://en.wikipedia.org/wiki/Interpellation_(politics)))_
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  🏷 **Model description**
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+ This model was trained on \~10k manually annotated interpellations (📚 [Breunig/ Schnatterer 2019](https://www.tandfonline.com/doi/abs/10.1080/13572334.2021.2010395)) with topics from the [Comparative Agendas Project](https://www.comparativeagendas.net/datasets_codebooks) to classify text into one of twenty labels (annotation codebook).
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  _Note: "Interpellation is a formal request of a parliament to the respective government."([Wikipedia](https://en.wikipedia.org/wiki/Interpellation_(politics)))_
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