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Trading Hero LLM

Developed by fuchenru
FinBERT fine-tuned financial sentiment analysis model, optimized for financial text sentiment classification
Downloads 313
Release Time : 5/25/2024

Model Overview

This model is a fine-tuned version of FinBERT, specifically designed for sentiment analysis tasks in the financial domain, capable of identifying neutral, positive, and negative sentiments in financial texts.

Model Features

Financial Domain Optimization
Pre-trained on large financial corpora and optimized for financial text characteristics
High Accuracy
Achieves 90.8% test accuracy and 91.3% F1 score, demonstrating excellent performance in financial sentiment analysis tasks
Three-Class Sentiment Analysis
Capable of distinguishing between neutral, positive, and negative financial sentiment tendencies

Model Capabilities

Financial text sentiment classification
Financial news sentiment analysis
Market sentiment prediction

Use Cases

Financial Analysis
Financial News Sentiment Monitoring
Analyze sentiment tendencies in financial news and market commentaries
Accurately identifies neutral, positive, and negative sentiments
Investment Decision Support
Provides market sentiment analysis references for investors
Helps assess overall market sentiment trends
Risk Management
Market Risk Warning
Predict potential risks by analyzing sentiment changes in financial texts
Early detection of market sentiment shift signals
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