- Getting started
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields (previously entities)
- Labels (predictions, confidence levels, hierarchy, etc.)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Reviewed and unreviewed messages
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- 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, general fields 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 annotating 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 general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining
- Licensing information
- FAQs and more
Extraction field type filtering
You can filter messages by whether they have assigned extraction fields. Filter messages both in Explore and Reports, in the same way as you do for labels.
Use any combination of AND, ANY OF and NOT when applying more than one extraction field type filter. These filters can give you more flexibility when training and interpreting your data, and can provide much deeper insights on what's happening in your communication channels.
Here are some of the things you can now do when filtering by annotated extraction field type:
- Apply multiple extraction field type filters at once, in both Explore and Reports.
- Filter to messages that have one of the selected annotated extraction field types (i.e., ANY OF the extraction field type X AND extraction field type Y AND ...).
- Filter to messages that have multiple different annotated extraction field types (i.e.,extraction field type X AND extraction field type Y AND ...).
- Filter to messages that do not have certain annotated extraction field types (i.e., NOT extraction field type Y).
- Search for messages containing specific search terms, while having extraction field type filters applied.
You can apply extraction field types filters and use them in combination with each other, to create the right type of query.
All of the extraction field types that you enable on your dataset appear in the filter bar:
This image displays the default state, where you don't apply any filter, and you can see all the messages (unless another filter is applied).
To update the extraction field type filter, use the button from this table. The button changes its colour when you select it:
| Show messages containing any annotated extraction field types. |
If you want to filter to messages that have any annotated extraction field types to contain an extraction field type, use the button from the table. The same button appears when you hover over the extraction field type.
The taxonomy of extraction field types functions as a normal filter bar, and allows you to select multiple extraction field types at once, with a single click for each.
Selecting multiple extraction field types from the list creates an ANY OF type query.
Select extraction field type A, extraction field type B and extraction field type C in the extraction field type bar. Making this selection creates a Show me messages with extraction field type A, extraction field type B, or extraction field type C annotated query.
You can make multiple selections to filter by specific extraction field types:
The second filter option is the + Add extraction field type filter button on top of the Extraction field type bar.
This enables an extraction field type dropdown menu, from which you can select more complex filters, such as excluding certain messages containing a specific extraction field type.
From the dropdown menu, click the names of the extraction field types, to select multiple extraction field types that you want to include or exclude.
You can select + Add extraction field type filter multiple times, to add additional layers to your query. Two separate extraction field types create an AND type query, while multiple extraction field types selected in the same filter, create an ANY OF type query.
In this example, you apply multiple extraction field type filters individually. This creates a filter that returns messages containing the selected annotated extraction field types to have any of the three extraction field types in the first filter, but not the PurchaseDate annotated extraction field type.
