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. FinancialBERT Sentiment Analysis is an open-source project aimed at financial analysts. FinancialBERT Sentiment Analysis is open source under the Open Source license. FinancialBERT Sentiment Analysis is available on the web and API.
Behind FinancialBERT Sentiment Analysis is ahmedrachid, and it first shipped in 2022. Among its 3 catalogued features are sentiment classification, financial text analysis, and BERT architecture.
Summary written by a language model from the project’s public pages.
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