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.
