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Customer Support Intent Albert
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Customer Support Intent Albert

Developed by vineetsharma
Customer support intent classification model fine-tuned based on ALBERT-base-v2, achieving 99.88% accuracy
Text Classification
Transformers
Open Source License:Apache-2.0#Customer Support Intent Recognition#High Accuracy (99.88%)#Order Scenario Optimization
Downloads 325
Release Time : 9/14/2023

Model Overview

This model is specifically designed to identify user intents in customer support scenarios, such as order modifications and invoice requests, suitable for building intelligent customer service systems.

Model Features

High Accuracy
Achieves 99.88% accuracy on the evaluation dataset
Lightweight
Based on ALBERT architecture with high parameter efficiency
Domain-Specific Optimization
Specially optimized for customer support scenarios

Model Capabilities

Customer Intent Classification
Natural Language Understanding
Text Classification

Use Cases

Intelligent Customer Service
Order Modification Request Identification
Identifies user intent to modify orders
Accuracy above 99%
Invoice Request Processing
Identifies user requests for invoices
Accuracy above 99%
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