metadata
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
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.