FinBERT Tone Finetuned is a BERT-based model fine-tuned on financial data for tone and topic classification. It is built on the twitter-financial-news-topic dataset and can classify financial text into relevant categories. The model is hosted on Hugging Face and integrates with the Transformers library for easy deployment in financial applications.
Finbert Tone Finetuned Finance Topic Classification is an Other AI project. Accurately classifying sentiment and topics in financial news and social media text. It is built as an open-source project for financial analysts and quantitative researchers. The project is open source (Open Source). It runs on the web and API.
It is developed by nickmuchi, and it first shipped in 2023. Among its 4 catalogued features are Text Classification, Financial NLP, and transformers. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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