NYTK / sentiment-hts2-hubert-hungarian

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Total runs: 63
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7-day runs: 24
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Model's Last Updated: August 22 2024
text-classification

Introduction of sentiment-hts2-hubert-hungarian

Model Details of sentiment-hts2-hubert-hungarian

Hungarian Sentence-level Sentiment Analysis with Finetuned huBERT Model

For further models, scripts and details, see our repository or our demo site .

  • Pretrained model used: huBERT
  • Finetuned on Hungarian Twitter Sentiment (HTS) Corpus
  • Labels: 0 (negative), 1 (positive)
Limitations
  • max_seq_length = 128
Results
Model HTS2 HTS5
huBERT 85.56 68.99
XLM-RoBERTa 85.56 66.50
Citation

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

@inproceedings {yang-sentiment,
    title = {Improving Performance of Sentence-level Sentiment Analysis with Data Augmentation Methods},
    booktitle = {Proceedings of 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2021)},
    year = {2021},
    publisher = {IEEE},
    address = {Online},
    author = {Laki, László and Yang, Zijian Győző}
    pages = {417--422}
}

Runs of NYTK sentiment-hts2-hubert-hungarian on huggingface.co

63
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