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Financialbert Sentiment Analysis

Developed by ahmedrachid
BERT-based specialized sentiment analysis model for the financial domain, fine-tuned on financial phrase datasets
Downloads 58.28k
Release Time : 3/2/2022

Model Overview

BERT model specifically designed for financial text sentiment analysis, capable of identifying negative/neutral/positive sentiment tendencies

Model Features

Financial Domain Optimization
Significantly improves understanding of financial terminology through pre-training and fine-tuning on financial domain texts
Three-class Sentiment Analysis
Specifically designed negative/neutral/positive three-class system for financial texts
Out-of-the-box Usage
Provides pre-trained model weights, ready for deployment without training from scratch

Model Capabilities

Financial text sentiment classification
Earnings report sentiment analysis
News sentiment recognition

Use Cases

Financial Report Analysis
Profit Growth Analysis
Identify positive sentiment in statements about profit growth in financial reports
Example shows 99.8% accuracy in positive classification of profit growth sentences
Market News Monitoring
Profit Warning Detection
Automatically identify negative sentiment in company profit warnings
Achieves F1 score of 0.97 for negative sentiment recognition on test set
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