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Multi2convai Quality En Bert
This is a fine-tuned BERT-based model for English quality-related text classification tasks, part of the Multi2ConvAI project.
Downloads 116
Release Time : 4/25/2025
Model Overview
This model is specifically designed for English quality-related text classification tasks, suitable for text analysis applications in the quality domain.
Model Features
Optimized for English Quality Domain
Specifically optimized and fine-tuned for English quality-related texts
Based on BERT Architecture
Utilizes the powerful BERT architecture with excellent text understanding capabilities
MIT License
Adopts the permissive MIT license for easy commercial and research use
Model Capabilities
English Text Classification
Quality-related Text Analysis
Use Cases
Quality Analysis
Product Quality Feedback Classification
Classify user-provided product quality feedback
Service Quality Evaluation
Analyze quality-related texts in customer service interactions
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