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 product. Automatically determining positive, negative, or neutral sentiment in financial news articles and reports. It is built as an open-source project for financial analysts and quantitative researchers. Distilroberta Finetuned Financial News Sentiment Analysis is open source under the Apache-2.0 license. It runs on the web and API.
mrm8488 builds and maintains Distilroberta Finetuned Financial News Sentiment Analysis, and the product first shipped in 2018. Development happens publicly on GitHub with 162.8k stars and 744 commits in the last 90 days. Key capabilities include Sentiment Analysis, Financial News, and Text Classification.
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