This model is a DistilRoBERTa base fine-tuned on financial news for sentiment analysis. It classifies text into positive, negative, or neutral categories and has been widely downloaded for use in trading, investment research, and market analysis applications. The model is available on Hugging Face and can be used directly with the Transformers pipeline for text-classification.
Distilroberta Finetuned Financial News Sentiment Analysis is an Other AI project. Automatically determining positive, negative, or neutral sentiment in financial news articles and reports. Distilroberta Finetuned Financial News Sentiment Analysis is an open-source project aimed at financial analysts and quantitative researchers. The project is open source (Apache-2.0). Distilroberta Finetuned Financial News Sentiment Analysis is available on the web and API.
It is developed by mrm8488, and it first shipped in 2018. The project is developed in the open on GitHub with 162.8k stars and 744 commits in the last 90 days. Among its 3 catalogued features are Sentiment Analysis, Financial News, and Text Classification.
Summary written by a language model from the project’s public pages.
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