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  license: cc-by-nc-4.0
 
 
 
 
 
 
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  license: cc-by-nc-4.0
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+ tags:
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+ - text-classification
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+ datasets:
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+ - NYTK/HuCOLA
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+ language:
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+ - hu
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  ---
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+
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+ # Hungarian Sentiment Analysis with Finetuned PULI BERT-Large Model
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+
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+ For further details, see [our demo site](https://juniper.nytud.hu/demo/nlp).
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+
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+ ## Limitations
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+
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+ - max_seq_length = 128
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+
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+ ## Citation
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+ If you use this model, please cite the following paper:
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+
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+ ```
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+ @inproceedings {yang-puli,
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+ title = {Jönnek a nagyok! BERT-Large, GPT-2 és GPT-3 nyelvmodellek magyar nyelvre},
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+ booktitle = {XIX. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2023)},
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+ year = {2023},
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+ publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
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+ address = {Szeged, Hungary},
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+ 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},
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+ pages = {247--262}
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+ }
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+ ```