- Getting Started
- Administration
- Manage Sources and Datasets
- Understanding the data structure and permissions
- Create a data source in the GUI
- Uploading a CSV file into a source
- Create a new dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amend a dataset's settings
- Delete messages via the UI
- Delete a dataset
- Export a dataset
- Using Exchange Integrations
- Preparing Data for .CSV Upload
- Model Training and Maintenance
- Understanding labels, entities and metadata
- Label hierarchy and best practice
- Defining your taxonomy objectives
- Analytics vs. automation use cases
- Turning your objectives into labels
- Building your taxonomy structure
- Taxonomy design best practice
- Importing your taxonomy
- Overview of the model training process
- Generative Annotation (NEW)
- Understanding the status of your dataset
- Model training and labelling best practice
- Training with label sentiment analysis enabled
- Train
- Introduction to 'Refine'
- Precision and recall explained
- Precision and recall
- How does Validation work?
- Understanding and improving model performance
- Why might a label have low average precision?
- Training using 'Check label' and 'Missed label'
- Training using Teach label (Refine)
- Training using Search (Refine)
- Understanding and increasing coverage
- Improving Balance and using 'Rebalance'
- When to stop training your model
- Using Analytics & Monitoring
- Automations and Communications Mining
- FAQs and More
Reviewed and unreviewed messages
Reviewed messages
We call messages that a user has applied labels or entities to: ‘reviewed’. In the platform, we show which messages have been reviewed by styling them as seen in the examples below.
For messages with assigned labels, the labels will become a darker shade, two ticks will appear in front of the labels and a grey box will surround them.
For messages with assigned entities, a bold coloured box will surround the assigned entity and the paragraph the entity is in will be shaded in grey.
Unreviewed messages
Unreviewed messages are all of the messages that have not been manually reviewed and labelled by a user. They will likely have predicted labels (and entities if enabled) associated with them, with various confidence levels, but these predictions have not been confirmed by a human.
