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Finbert FOMC
FinBERT-FOMC is a financial domain language model enhanced for sentiment analysis of FOMC meeting minutes. It improves the accuracy of complex financial sentence analysis by fine-tuning ProsusAI/finbert and adopting sentiment-focused methods.
Downloads 459
Release Time : 6/11/2023
Model Overview
This model specializes in sentiment analysis of financial texts, capable of identifying positive, negative, and neutral sentiments, particularly suitable for analyzing complex financial statements such as FOMC meeting minutes.
Model Features
Enhanced FOMC Meeting Minutes Analysis
Fine-tuned with FOMC meeting minutes data from 2006-2023, specifically optimized for financial policy text analysis.
Sentiment-Focused Method
Adopts the SF (Sentiment-Focused) method to relabel complex sentences, improving analysis accuracy.
Financial Domain Optimization
Compared to the original FinBERT, it offers higher analysis accuracy for complex financial statements.
Model Capabilities
Financial Text Sentiment Analysis
Complex Sentence Sentiment Recognition
Policy Document Sentiment Classification
Use Cases
Financial Analysis
FOMC Meeting Minutes Analysis
Analyze the sentiment tendencies in Federal Open Market Committee meeting minutes.
Can accurately identify dovish/hawkish tendencies in policy statements.
Financial News Sentiment Analysis
Perform sentiment classification on financial news reports.
Capable of processing sentences containing complex financial terminology.
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