Communications Mining
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- 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
Communications Mining User Guide
Last updated Apr 18, 2024
Streams
User permissions required: ‘View Sources’, ‘View Labels’, AND 'Consume Streams'.
The Streams page allows you to set up an automated pathway that adds messages to a queue, provided that they satisfy certain label or user property conditions. The queue is made available to downstream applications via the platform’s API and is a useful tool to facilitate end-to-end automation of processes.
You can think of a stream as a type of filter, allowing you to filter on predicted labels from a pinned model as well as filter
on user properties.
Streams page
For an explanation on how to set up or update a stream, please see here.
