ixp
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- 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™
- Selecting label confidence thresholds
- Creating a stream
- Updating or deleting a stream
- 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
Last updated Aug 11, 2025
Note: You must have assigned the Stream - Manage permission as
an Automation Cloud user, or the Modify streams permission to update streams or
the Streams admin permission to delete streams as a legacy user.
There are a few reasons why you should update a stream:
- You want to adjust the thresholds for the same model version, to change the output of predictions.
- When a new model version is created via additional training and you want to leverage the output from the latest (pinned) version, then you should update the stream to include the new version.
Note: If updating a stream to a new pinned model version, you should also adjust all of the label thresholds to maximise performance
from the new version.
Note: You must have assigned the Stream - Manage permission
as an Automation Cloud user, or the Modify streams permission to update
streams or the Streams admin permission to delete streams as a legacy
user.
To update a stream, proceed as follows:
- Navigate to the Datasets page, and select the Streams tab.
- Select the gear button on the stream card that you want to update. This will open the Edit stream modal.
- Modify any of the fields in the Edit
stream modal.
- Most commonly, it will be adjusting thresholds, or changing the pinned model version that the stream is based on.
- This includes updating thresholds, which should be done whenever switching to a new pinned model version.
- Select the check button to save your changes. As soon as you do, the updates will take effect in the stream.
Note: You must have assigned the Stream - Manage permission
as an Automation Cloud user, or the Modify streams permission to update
streams or the Streams admin permission to delete streams as a legacy
user.
To delete a stream, proceed as follows:
- Navigate to the Datasets page, and select the Streams tab.
- Select the gear button on the stream card that you want to delete. This will open the Edit stream modal.
- Select the bin icon to delete the stream.
- Select Delete in the Delete stream modal to confirm your
decision.
