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--- |
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license: apache-2.0 |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-classification |
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tags: |
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- modernbert |
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- dissatisfaction |
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- user-feedback |
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- conversational-ai |
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- semantic-routing |
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- sentiment |
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base_model: answerdotai/ModernBERT-base |
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datasets: |
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- rootfs/user-satisfaction-dataset |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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# User Satisfaction Classifier |
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A ModernBERT-based classifier that detects user satisfaction and dissatisfaction reasons from follow-up messages in conversational AI systems. |
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## Key Insight |
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**Follow-up messages alone contain sufficient signal for classification.** No conversation context needed—just pass the user's response directly. |
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## Labels |
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| Label | Description | Example | |
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|-------|-------------|---------| |
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| `SAT` | User is satisfied | "Thanks!", "Perfect", "Great!" | |
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| `NEED_CLARIFICATION` | User needs more explanation | "What do you mean?", "Can you explain?" | |
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| `WRONG_ANSWER` | System provided incorrect information | "No, that's wrong", "That's not right" | |
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| `WANT_DIFFERENT` | User wants alternative options | "Show me others", "What else?" | |
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## License |
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Apache 2.0 |
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