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 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 and our related
blog post on Medium.
The model will give softmax outputs for three labels: positive, negative or neutral.
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.
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.
We are delighted to hear the use of FinBERT at many other organisations. Please, let us know your use-case if you have FinBERT deployed and we add you to this list:
