Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

Keyphrases

• User-generated Content 100%
• Multi-label Classification 100%
• Zero-shot 100%
• Text Classification System 100%
• High-throughput 33%
• Final Model 33%
• Classification Performance 33%
• Model Choice 33%
• Text Data 33%
• Text Topic 33%
• Production Scale 33%
• Transformer Architecture 33%
• Stream Processing 33%
• Text Embedding 33%
• Large Language Models 33%
• Processing Platform 33%
• Ablation Study 33%
• Shot Prediction 33%
• Partial Labels 33%
• Production Decision-making 33%
• Domain-specific Texts 33%
• Bi-encoder 33%
• Smart Sampling 33%
• Batch Inference 33%

Computer Science

• Text Classification 100%
• User-Generated Content 100%
• Zero-Shot Learning 100%
• Decision-Making 50%
• Data Source 50%
• High Throughput 50%
• Annotation 50%
• Classification Performance 50%
• Structured Information 50%
• Scale Production 50%
• Large Language Model 50%
• Stream Processing Platform 50%
• Multi-Label Classification 50%