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README.md
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It is a multilabel model trained on a manually curated dataset of sentences from the 18th and 19th legislative periods.
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In addition to capturing the foundational dimensions of populism, namely "anti-elitism" and "people-centrism," the model was also fine-tuned to identify the underlying ideological orientation as either "left-wing" or "right-wing."
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# Prediction
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The model outputs a Tensor of length 4.
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It is a multilabel model trained on a manually curated dataset of sentences from the 18th and 19th legislative periods.
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In addition to capturing the foundational dimensions of populism, namely "anti-elitism" and "people-centrism," the model was also fine-tuned to identify the underlying ideological orientation as either "left-wing" or "right-wing."
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Helpful code and analyses are stored in a GitHub repo: [github.com/luerhard/PopBERT](https://github.com/luerhard/PopBERT)
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# Prediction
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The model outputs a Tensor of length 4.
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