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