- Introduction
- Setting up your account
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields
- Labels (predictions, confidence levels, label hierarchy, and label sentiment)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Annotated and unannotated messages
- Extraction Fields
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- Access Control and Administration
- Manage sources and datasets
- Understanding the data structure and permissions
- Creating or deleting a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Creating a dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amending dataset settings
- Deleting a message
- Deleting a dataset
- Exporting a dataset
- Using Exchange integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Comparing analytics and automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation
- Dastaset status
- Model training and annotating best practice
- Training with label sentiment analysis enabled
- Training chat and calls data
- Understanding data requirements
- Train
- Introduction to Refine
- Precision and recall explained
- Precision and Recall
- How validation works
- Understanding and improving model performance
- Reasons for label 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™
- Developer
- Exchange Integration with Azure service user
- Exchange Integration with Azure Application Authentication
- Exchange Integration with Azure Application Authentication and Graph
- Fetching data for Tableau with Python
- Elasticsearch integration
- Self-hosted Exchange integration
- UiPath® Automation Framework
- UiPath® Marketplace activities
- UiPath® official activities
- How machines learn to understand words: a guide to embeddings in NLP
- Prompt-based learning with Transformers
- Efficient Transformers II: knowledge distillation & fine-tuning
- Efficient Transformers I: attention mechanisms
- Deep hierarchical unsupervised intent modelling: getting value without training data
- Fixing annotating bias with Communications Mining™
- Active learning: better ML models in less time
- It's all in the numbers - assessing model performance with metrics
- Why model validation is important
- Comparing Communications Mining™ and Google AutoML for conversational data intelligence
- Licensing
- FAQs and more
Communications Mining user guide
Label editing
To make any changes to labels, such as renaming, merging or deleting, you can access the label edit tool by selecting the gear icon. This icon appears when you hover your mouse over the label name in Explore or Reports as shown in the following image:
Merging and deleting labels are actions that cannot be undone, so be careful when doing so.
If you want to make considerable changes to your taxonomy but are concerned about the outcome, you can always fork the taxonomy first by creating a copy of the dataset and then you can revert back to the old version if you are unsatisfied with the changes.
To rename a label, proceed as follows:
- Select the gear icon for the label name you want to edit. Next, a pop-up window for editing the label will appear.
- Select the Rename tab.
- Enter the new label name.
- Select Rename Label.
Renaming a label is also the easiest way to move labels around and add layers of hierarchy to your taxonomy as shown in the example from the previous image. This label name change means that the Injury label will now be nested under the Claim parent label, and all Injury labels are now a subset of Claim.
You may need to merge one label with another for a few different reasons. It might be that you have created two labels which are very similar and one label will suffice rather than two. It could also be that you have created very specific sub-labels and there are insufficient examples at that level of detail and you want to merge a label back up into its parent.
- Select the gear icon for the label name you want to edit. Next, a pop-up window for editing the label will appear.
- Select the Merge tab.
- Select the other label that you want to merge the label into from the dropdown, or enter the label name.
- Select Merge Label.
