From the model card
Fields below are copied from the tags and counters on the HuggingFace repository ProsusAI/finbert at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- ProsusAI
- Pipeline tag
- text-classification
- Library
- Transformers
- Framework tags
- PyTorch, TensorFlow, JAX
- Language tags
- English (en)
- Papers cited
- arXiv:1908.10063
- Downloads (HF counter at last fetch)
- 4,926,116
- Likes (HF counter at last fetch)
- 1,236
- Model card
- https://huggingface.co/ProsusAI/finbert
Use cases
- Financial news sentiment classification for algorithmic trading signals
- Earnings call transcript sentiment analysis
- Analyst report tone classification
- Social media monitoring of market sentiment for finance topics
- NLP pipeline component for financial text preprocessing and annotation
Pros
- Domain-adapted for financial text — outperforms general BERT on finance sentiment
- Multi-framework support (PyTorch, TF, JAX)
- English financial text representations cover key market terminology
- Apache-adjacent license; available for commercial use
Cons
- English-only; no multilingual financial sentiment capability
- Three-class output (positive/negative/neutral) limits nuanced sentiment detection
- Financial domain shift is rapid — training data may not cover new financial instruments or terminology
- No claim labeling, fact-checking, or price direction prediction — purely sentiment
- 512-token context clips long financial documents without summarization preprocessing
Tags
transformerspytorchtfjaxberttext-classificationfinancial-sentiment-analysissentiment-analysisenarxiv:1908.10063endpoints_compatibleregion:usdeploy:azure