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Legal Bert Sentiment
Legal text sentiment analysis model fine-tuned on Legal-BERT, achieving 88.6% accuracy
Downloads 10.52k
Release Time : 11/2/2024
Model Overview
This model is specifically designed for analyzing the sentiment orientation of legal texts, suitable for sentiment classification tasks in contracts, judgments, and other legal documents
Model Features
Legal Domain Optimization
Fine-tuned on Legal-BERT for better understanding of legal terminology and text structures
High Accuracy
Achieves 88.6% accuracy and 0.8885 F1 score on evaluation datasets
Lightweight Deployment
Based on BERT-base architecture, suitable for production environment deployment
Model Capabilities
Legal text sentiment classification
Legal document emotion analysis
Legal document sentiment orientation judgment
Use Cases
Legal Tech
Contract Sentiment Analysis
Analyze the sentiment orientation of contract clauses to identify potential dispute points
Can automatically flag high-risk sentiment clauses
Judgment Sentiment Assessment
Evaluate the sentiment orientation of judicial judgments
Assists legal research in analyzing judicial tendencies
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