Conversational text classification offers several models. Use this guide to select the model that best fits your scenario.
Conversational Classification - High-Performance Edition: This model is based on a self-developed Hierarchical Attention Network (HAN) architecture that uses a dual-layer BiLSTM with attention. It is fast, requires minimal computing resources, and is ideal for high-performance scenarios.
Conversational Classification - High-Accuracy Edition (StructBERT): This model is based on the StructBERT classification architecture from the AliceMind model family. It provides high accuracy and is ideal for scenarios that require high accuracy but have low performance requirements.
Detailed comparison
Model
Performance
Results
Supported task types
Notes
Conversational Classification - High-Performance Edition
Faster
Multitasking, multiclass classification, and multi-label
Conversational Classification - High-Accuracy Edition (StructBERT)
Good
Multitasking, multiclass classification, multi-label, and multi-level
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