- 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
- Preparing data for .CSV upload
- Uploading a CSV file into a source
- 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
- 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
- Uploading data
- Downloading data
- Exchange Integration with Azure service user
- Exchange Integration with Azure Application Authentication
- Exchange Integration with Azure Application Authentication and Graph
- Migration Guide: Exchange Web Services (EWS) to Microsoft Graph API
- Fetching data for Tableau with Python
- Elasticsearch integration
- General field extraction
- Self-hosted Exchange integration
- UiPath® Automation Framework
- 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
Navigating the platform
The platform is formed of the following main navigation menus:
- The Administration page.
- The navigation bar.
Note:
The navigation bar only becomes visible when you select a dataset from the Datasets page.
The Administration page
On the Administration page, you can access the following tabs:
- Manage Access - Navigates to the Projects page, where you can create a new project or add a user to an existing project.
- My Account - Allows you to view your account details, including what permissions you have for each project, and access your API token.
- Maintenance - Allows you to manage per-tenant quotas for Communications Mining, and the model version deprecation process.
- Sources - Allows you to create or update sources for your project.
- Integrations - Allows you to create and manage integrations.
- Alert Center - Provides real-time alerting capabilities, so you can define issues that impact your clients, processes, and service quality.
The navigation bar
You must have assigned the IXP Viewer or IXP Analyst roles as an Automation Cloud user, or the View sources permission as a legacy user.
Once you select a dataset, the navigation bar becomes visible, and you can access the following tabs:
- Train - Provides a fully guided label training experience for users.
- Discover - Use unsupervised learning and search to discover new labels.
- Explore - Explore the messages of a dataset, apply labels and fields, and edit your taxonomy.
- Validation - Inspect and monitor the accuracy statistics of the model.
- Reports - Detailed, queryable reports and charts.
- Models - View, pin, or roll back model versions.
- Streams - View, create, and modify streams.
- Settings - General dataset settings, label, and general field configurations, and dataset statistics.
For more details on each of these tabs, check the following resources: Train, Discover, Explore, Validation, Reports, Models, Streams, and Settings.
Changing datasets
To change the dataset you are viewing, apply one of the following options:
-
Select the UiPath® IXP logo to navigate back to the Datasets page.
-
Select the drop-down menu from the name of the dataset.

Help menu
On the help menu, accessible through the questionmark ? icon, you can access a number of useful resources, including:
- Communications Mining Documentation - Navigates to the official documentation for Communications Mining.
- Community forum - Navigates to the UiPath® community forum.
- UiPath® Academy - Navigates to the UiPath academy.
- YouTube tutorials - Navigates to the UiPath video tutorials.
- Release notes - Navigates to the UiPath product release notes.
- Support - Navigates to the UiPath product documentation and guides.
- Downloads - Navigates to downloadable UiPath resources.