---
license: apache-2.0
---
Model description Cased fine-tuned BERT model for English, trained on (manually annotated) Hungarian parliamentary speeches scraped from parlament.hu, and translated with Google Translate API.

Intended uses & limitations The model can be used as any other (cased) BERT model. It has been tested recognizing positive, negative, and neutral sentences in (parliamentary) pre-agenda speeches, where:

'Label_0': Negative 'Label_1': Neutral 'Label_2': Positive

Training The fine-tuned version of the original bert-base-cased model (bert-base-cased), trained on HunEmPoli corpus, translated with Google Translate API.

Intended uses & limitations: The model can be used as any other (cased) BERT model.

Eval results

                  precision    recall  f1-score   support

             0       0.87      0.87      0.87      1118
             1       1.00      0.26      0.41        35
             2       0.78      0.82      0.80       748

      accuracy                           0.83      1901
      macro avg      0.88      0.65      0.69      1901
      weighted avg   0.84      0.83      0.83      1901