User permissions required: ‘View Sources’ AND ‘Review and label’
Reviewing unreviewed verbatims and accepting or rejecting the platform's predicted labels and entities further trains the model and its accuracy.
You can review unreviewed verbatims in most of the training modes in Explore and in Discover:
- Cluster (Discover)
- Search (Discover & Explore)
- Recent (Explore)
- Shuffle mode (Explore)
- Label mode (Explore)
- Teach (Explore)
- Low Confidence (Explore)
Make sure to apply all of the relevant labels in your taxonomy to each verbatim. When you review a verbatim, not only do you teach the model which labels apply, but also which labels don’t. If you don’t apply all relevant labels, you send a negative training signal to the model, which will affect its performance.
Unreviewed verbatims with labels predicted
The opacity of a label indicates the confidence of the platform's prediction of that label, with higher opacity indicating higher confidence.
Accepting or rejecting labels
Hovering your cursor over the label opens a modal showing the confidence with which the model has predicted the label and, if sentiment analysis is enabled, the net sentiment.
Accept/reject a label
- Clicking on the label, or the sentiment indicator (if sentiment analysis is enabled) pins the label to the verbatim, i.e. it confirms the model’s prediction of that label
- If you want to change the sentiment of the predicted label, click the face image that appears when you hover over the verbatim
- If the prediction is wrong, add the correct one - this effectively dismisses the incorrect predictions
Accepting, rejecting, or changing the type of an entity
Hovering your cursor over the entity opens a modal showing the confidence with which the model has predicted the entity.
Accept/reject an entity
- Clicking 'Confirm' on the entity (or clicking the hotkey - which is '1' to confirm an entity), pins the entity to the verbatim, i.e. it confirms the model’s prediction of that label
- Clicking the 'Dismiss' on the entity (or clicking the hotkey - which is '2' to dismiss an entity), tells the platform that the entity predicted is incorrect
An entity predicted as 'Cancellation Date', but should actually be 'Policy Start'
The button to change an entity type
Dropdown of entities you can change the predicted entity to
- Clicking the change entity button allows us to assign a different entity, if the entity predicted is incorrect
- In the example above, clicking this button will display the other entities in our dataset that we can assign
- In this case, we can change the entity type from 'Cancellation Date' to 'Policy Start' on this dropdown, which will assign this entity