Downloads · 30 days
12
0% of all-time downloads
sentiment-hts2-hubert-hungarian
NYTK/sentiment-hts2-hubert-hungarian
sentiment-hts2-hubert-hungarian is a text classification model from NYTK. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
For further models, scripts and details, see our repository or our demo site.
All-time downloads
2.9K
Public
Repo size
885 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin443 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 22, 2024
- SHA
- bdd800a7
Try a prompt
Model card
From the Hugging Face model README
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:
@article {laki-yang-sentiment,
author = {Laki, László János and Yang, Zijian Győző},
title = {Sentiment Analysis with Neural Models for Hungarian},
journal = {Acta Polytechnica Hungarica},
year = {2023},
publisher = {Obuda University},
volume = {20},
number = {5},
doi = {10.12700/APH.20.5.2023.5.8},
pages= {109--128},
url = {https://acta.uni-obuda.hu/Laki_Yang_134.pdf}
}
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- hu
- Created
- Mar 2, 2022
- Updated
- Aug 22, 2024