Overview
The bot incorrectly classifies the message "Hello" as any other intent (Example: 'Shopping'). This issue is a result of overlapping training processes that leads to incomplete intent data being used in the model. Retraining the model, and waiting for the training process to complete before promotion is recommended to ensure accuracy.
Resolution Steps:
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Review Intent Training Data:
- Navigate to your Flow project and review all text triggers.
- Click the "Train" button on each intent to review training examples.
- Ensure at least 10 diverse examples for each intent.
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Pay Special Attention to "Hello" Intent:
- Consider turning off NLP for greeting intents if they have many short examples.
- Ensure the "Hello" intent is distinct and not overly broad.
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Follow Training Best Practices:
- Balance training examples across all intents.
- Keep intents semantically distinct.
- Limit entry-level intents to improve classification accuracy.
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Prevent Future Issues:
- Avoid initiating multiple training sessions simultaneously.
- Wait for training completion before making additional changes.
Verification: After retraining, test the bot with "Hello" and other similar greetings to ensure correct intent classification.
Frequently Asked Questions
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- How do I know if this misclassification issue applies to my bot?
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- If you notice that simple greetings like "Hello" are being misclassified as unrelated intents, this issue may apply. Check your bot's intent logs for similar patterns.
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- What should I do if the issue persists after retraining?
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- Ensure that your training data is complete and balanced. If the issue persists, consider consulting with support for further investigation.
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- How can I prevent similar issues in the future?
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- Avoid running multiple training sessions simultaneously and ensure that training processes are completed before making additional changes to the model.
Priyanka Bhotika
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