FinancialBERT-Sentiment-Analysis is a BERT model fine-tuned on financial text for three-class sentiment classification (positive, negative, neutral). It is designed to analyze earnings calls, news articles, analyst reports, and social media content relevant to finance and investing. The model can be used via the Transformers library for research or production applications.
FinancialBERT Sentiment Analysis sits in PulseGate's Other AI category. Accurately determining sentiment in financial news, reports, and social media content. It is built as an open-source project for financial analysts. FinancialBERT Sentiment Analysis is open source under the Open Source license. The product ships for the web and API.
It is developed by ahmedrachid, and the product first shipped in 2022. Key capabilities include sentiment classification, financial text analysis, and BERT architecture.
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