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| language: en |
| tags: |
| - financial-sentiment-analysis |
| - sentiment-analysis |
| widget: |
| - text: Stocks rallied and the British pound gained. |
| license: apache-2.0 |
| pipeline_tag: text-classification |
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| FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper [FinBERT: Financial Sentiment Analysis with Pre-trained Language Models](https://arxiv.org/abs/1908.10063) and our related [blog post](https://medium.com/prosus-ai-tech-blog/finbert-financial-sentiment-analysis-with-bert-b277a3607101) on Medium. |
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| The model will give softmax outputs for three labels: positive, negative or neutral. |
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