README.md
| 1 | --- |
| 2 | language: "en" |
| 3 | tags: |
| 4 | - financial-sentiment-analysis |
| 5 | - sentiment-analysis |
| 6 | widget: |
| 7 | - text: "Stocks rallied and the British pound gained." |
| 8 | --- |
| 9 | |
| 10 | 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. |
| 11 | |
| 12 | The model will give softmax outputs for three labels: positive, negative or neutral. |
| 13 | |
| 14 | --- |
| 15 | |
| 16 | About Prosus |
| 17 | |
| 18 | Prosus is a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities. For more information, please visit www.prosus.com. |
| 19 | |
| 20 | Contact information |
| 21 | |
| 22 | Please contact Dogu Araci dogu.araci[at]prosus[dot]com and Zulkuf Genc zulkuf.genc[at]prosus[dot]com about any FinBERT related issues and questions. |
| 23 | |