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Financial Roberta Large Sentiment
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Financial Roberta Large Sentiment
Developed by soleimanian
Financial-RoBERTa is a pre-trained NLP model specifically designed for analyzing sentiment tendencies in financial texts.
Downloads 2,177
Release Time : 5/16/2022
Model Overview
Financial-RoBERTa is built by further training and fine-tuning the RoBERTa Large language model to analyze sentiment tendencies in financial texts, including financial statements, earnings announcements, earnings call transcripts, CSR reports, ESG news, and financial news.
Model Features
Specialized for Financial Domain
Specifically trained for financial texts, suitable for financial statements, earnings call transcripts, and other financial content.
Sentiment Analysis
Accurately identifies positive, negative, or neutral sentiment tendencies in financial texts.
Support for Multiple Financial Text Types
Supports analysis of various financial text types, including financial statements, CSR reports, ESG news, etc.
Model Capabilities
Financial Text Sentiment Analysis
Text Classification
Financial Domain NLP
Use Cases
Financial Analysis
Earnings Report Sentiment Analysis
Analyzes sentiment tendencies in company earnings reports to help investors assess company performance.
Outputs positive, negative, or neutral sentiment labels
ESG Report Analysis
Evaluates sentiment tendencies in corporate social responsibility reports.
Outputs positive, negative, or neutral sentiment labels
Investment Decision Support
Financial News Sentiment Analysis
Analyzes sentiment tendencies in financial news to assist investment decisions.
Outputs positive, negative, or neutral sentiment labels
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