ProsusAI/finBERT

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2217 stars · 538 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FinBERT is a pre-trained BERT language model further trained on financial text and fine-tuned for financial sentiment classification. It is distributed as a Python/Jupyter codebase with model weights on the Hugging Face model hub.

Use cases

• analyze sentiment of financial news headlines
• classify sentiment of earnings call or report text
• score financial phrases as positive, negative, or neutral
• run sentiment analysis on stock market news with BERT
• fine-tune a language model on finance domain corpora
• use a pretrained financial NLP model in Python

When to choose

• you need sentiment analysis specialized for financial text
• you want a ready-to-use pretrained model from the Hugging Face hub
• you work in Python with PyTorch and can manage a conda environment

When to avoid

• you need general-purpose sentiment analysis outside the finance domain
• you require the modern transformers API, since this repo still depends on the older pytorch_pretrained_bert library
• you need actively maintained code with recent updates

Facets

library · maturity maintenance

nlp machine-learning deep-learning machine-learning fintech artificial-intelligence python bert sentiment-analysis finance hugging-face pytorch pretrained-model natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ProsusAI/finBERT")