This is a fine-tuned version of DeBERTa-v3 specifically trained for classifying the sentiment of financial news. It can be used via the Hugging Face Transformers library for text-classification pipelines or loaded directly as a sequence classification model. The model is published with a MIT license.
Deberta V3 Ft Financial News Sentiment Analysis sits in PulseGate's Other AI category. Accurately determining sentiment in financial news articles and reports. Deberta V3 Ft Financial News Sentiment Analysis is an open-source project aimed at financial analysts. Deberta V3 Ft Financial News Sentiment Analysis is open source under the MIT license. It ships for the web, the command line, and API.
mrm8488 builds and maintains Deberta V3 Ft Financial News Sentiment Analysis, and it first shipped in 2020. The project is developed in the open on GitHub with 2.2k stars. Among its 3 catalogued features are Text Classification, Financial Sentiment, and transformers.
Summary written by a language model from the project’s public pages.
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