poltextlab
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README.md
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@@ -34,6 +34,18 @@ The model can be used as any other (cased) BERT model. It has been tested recogn
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Fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), trained on HunEmPoli corpus.
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## Eval results
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| Class | Precision | Recall | F-Score |
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Fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), trained on HunEmPoli corpus.
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| Category | Count | Ratio | Sentiment | Count | Ratio |
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| -------- | ----- | ------ | --------- | ----- | ------ |
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| Neutral | 351 | 1.85% | Neutral | 351 | 1.85% |
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| Fear | 162 | 0.85% | Negative | 11180 | 58.84% |
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| Sadness | 4258 | 22.41% |
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| Anger | 643 | 3.38% |
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| Disgust | 6117 | 32.19% |
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| Success | 6602 | 34.74% | Positive | 7471 | 39.32% |
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| Joy | 441 | 2.32% |
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| Trust | 428 | 2.25% |
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| Sum | 19002 | | | | |
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## Eval results
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| Class | Precision | Recall | F-Score |
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