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Distilbert Complaints Product
Financial complaint classification model based on DistilBERT, capable of identifying 18 types of complaints
Downloads 14
Release Time : 3/2/2022
Model Overview
This model is trained on the CFPB consumer complaint dataset for automatically classifying financial customer complaint texts, supporting contact center automation processes.
Model Features
Lightweight Architecture
Based on the DistilBERT architecture, it reduces computational resource requirements while maintaining performance.
Multi-category Classification
Supports precise classification of 18 different types of financial complaints.
End-to-End Integration
Designed for seamless integration with AWS cloud services, supporting complete contact center automation processes.
Model Capabilities
Financial Complaint Classification
Text Classification
Natural Language Processing
Use Cases
Customer Service Automation
Complaint Auto-Routing
Automatically classifies and routes customer complaints to the appropriate handling department.
Improves customer service efficiency and reduces manual classification time.
Complaint Analysis Dashboard
Provides management with visual analysis of complaint type distribution.
Helps identify common issues and improve service quality.
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