Hungarian Sentence-level Sentiment Analysis Model with XLM-RoBERTa

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• Pretrained model used: XLM-RoBERTa base
• Finetuned on Hungarian Twitter Sentiment (HTS) Corpus
• Labels: 0 (negative), 1 (positive)

Limitations

• max_seq_length = 128

Results

Citation

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

@inproceedings {laki-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}
}