poltextlab / HunEmBERT3

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Total runs: 2.5K
24-hour runs: 0
7-day runs: -241
30-day runs: 465
Model's Last Updated: April 09 2026
text-classification

Introduction of HunEmBERT3

Model Details of HunEmBERT3

Model description

Cased fine-tuned BERT model for Hungarian, trained on (manually annotated) parliamentary pre-agenda speeches scraped from parlament.hu .

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': Neutral
  • 'Label_1': Positive
  • 'Label_2': Negative
Training

The fine-tuned version of the original huBERT model ( SZTAKI-HLT/hubert-base-cc ), trained on HunEmPoli corpus.

Category Count Ratio Sentiment Count Ratio
Neutral 351 1.85% Neutral 351 1.85%
Fear 162 0.85% Negative 11180 58.84%
Sadness 4258 22.41%
Anger 643 3.38%
Disgust 6117 32.19%
Success 6602 34.74% Positive 7471 39.32%
Joy 441 2.32%
Trust 428 2.25%
Sum 19002
Eval results
Class Precision Recall F-Score
Neutral 0.83 0.71 0.76
Positive 0.87 0.91 0.9
Negative 0.94 0.91 0.93
Macro AVG 0.88 0.85 0.86
Weighted WVG 0.91 0.91 0.91
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("poltextlab/HunEmBERT3")
model = AutoModelForSequenceClassification.from_pretrained("poltextlab/HunEmBERT3")
BibTeX entry and citation info

If you use the model, please cite the following paper:

Bibtex:

@ARTICLE{10149341,
  author={{"U}veges, Istv{\'a}n and Ring, Orsolya},
  journal={IEEE Access}, 
  title={HunEmBERT: a fine-tuned BERT-model for classifying sentiment and emotion in political communication}, 
  year={2023},
  volume={11},
  number={},
  pages={60267-60278},
  doi={10.1109/ACCESS.2023.3285536}
}

Runs of poltextlab HunEmBERT3 on huggingface.co

2.5K
Total runs
0
24-hour runs
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3-day runs
-241
7-day runs
465
30-day runs

More Information About HunEmBERT3 huggingface.co Model

More HunEmBERT3 license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

HunEmBERT3 huggingface.co

HunEmBERT3 huggingface.co is an AI model on huggingface.co that provides HunEmBERT3's model effect (), which can be used instantly with this poltextlab HunEmBERT3 model. huggingface.co supports a free trial of the HunEmBERT3 model, and also provides paid use of the HunEmBERT3. Support call HunEmBERT3 model through api, including Node.js, Python, http.

poltextlab HunEmBERT3 online free

HunEmBERT3 huggingface.co is an online trial and call api platform, which integrates HunEmBERT3's modeling effects, including api services, and provides a free online trial of HunEmBERT3, you can try HunEmBERT3 online for free by clicking the link below.

poltextlab HunEmBERT3 online free url in huggingface.co:

https://huggingface.co/poltextlab/HunEmBERT3

HunEmBERT3 install

HunEmBERT3 is an open source model from GitHub that offers a free installation service, and any user can find HunEmBERT3 on GitHub to install. At the same time, huggingface.co provides the effect of HunEmBERT3 install, users can directly use HunEmBERT3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

HunEmBERT3 install url in huggingface.co:

https://huggingface.co/poltextlab/HunEmBERT3

Url of HunEmBERT3

Provider of HunEmBERT3 huggingface.co

poltextlab
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Total runs: 2.6K
Run Growth: 545
Growth Rate: 20.64%
Updated:April 09 2026