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Finbert
FinBERT is a pre-trained natural language processing model specifically designed for financial text sentiment analysis
Downloads 1.6M
Release Time : 3/2/2022
Model Overview
FinBERT is a model further trained on the BERT language model in the financial domain, specifically optimized for financial sentiment classification tasks, capable of analyzing the sentiment tendency (positive/negative/neutral) of financial texts
Model Features
Specialized for Financial Domain
Optimized for financial text sentiment analysis by fine-tuning the BERT model on financial corpora
Three-class Sentiment Analysis
Capable of identifying positive, negative, and neutral sentiment tendencies in financial texts
Professional Training Data
Fine-tuned using financial phrase banks to ensure accurate understanding of financial terminology and expressions
Model Capabilities
Financial Text Sentiment Classification
Financial News Sentiment Analysis
Market Commentary Sentiment Recognition
Use Cases
Financial Market Analysis
Stock Market Sentiment Monitoring
Analyze sentiment tendencies in stock market-related news and comments
Helps investors understand market sentiment changes
Currency Trend Prediction
Analyze sentiment tendencies in currency-related news
Assists in forex market analysis and prediction
Financial Risk Management
Risk Signal Identification
Identify negative sentiment signals from financial texts
Early warning of potential financial risks
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