|
--- |
|
license: cc-by-nc-4.0 |
|
tags: |
|
- text-classification |
|
datasets: |
|
- NYTK/HuSST |
|
language: |
|
- hu |
|
--- |
|
|
|
# Hungarian Sentiment Analysis with Finetuned PULI BERT-Large Model |
|
|
|
For further details, see [our demo site](https://juniper.nytud.hu/demo/nlp). |
|
|
|
## Limitations |
|
|
|
- max_seq_length = 128 |
|
|
|
## Citation |
|
If you use this model, please cite the following paper: |
|
|
|
``` |
|
@inproceedings {yang-puli, |
|
title = {Jönnek a nagyok! BERT-Large, GPT-2 és GPT-3 nyelvmodellek magyar nyelvre}, |
|
booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2023)}, |
|
year = {2023}, |
|
publisher = {Szegedi Tudományegyetem, Informatikai Intézet}, |
|
address = {Szeged, Hungary}, |
|
author = {Yang, Zijian Győző and Dodé, Réka and Ferenczi, Gergő and Héja, Enikő and Jelencsik-Mátyus, Kinga and Kőrös, Ádám and Laki, László János and Ligeti-Nagy, Noémi and Vadász, Noémi and Váradi, Tamás}, |
|
pages = {247--262} |
|
} |
|
``` |
