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SCUzqy24/FinBert_finetuned_sentiment
FinBert_finetuned_sentiment is a machine learning model from SCUzqy24. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of the Chinese FinBERT model for binary sentiment classification of management responses in Chinese earnings conference call Q&A.
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From the Hugging Face model README
This model is a fine-tuned version of the Chinese FinBERT model for binary sentiment classification of management responses in Chinese earnings conference call Q&A.
The model is initialized from the original Chinese FinBERT model:
yiyanghkust/finbert-tone-chinese
Binary sentiment classification of management responses.
0: Negative1: PositiveFinBert_finetuned_sentiment is fine-tuned on the manually labeled dataset used in the associated research study.
For detailed information on the dataset, research design, training procedure, evaluation, and empirical results, please refer to the associated paper.
The complete training and evaluation code is available in the associated GitHub repository https://github.com/SCUzqy24/Chinese-Earnings-Call-Sentiment/.
We thank the authors of the original FinBERT model for making the pretrained model publicly available.