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Communications Mining user guide
- 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
- Email transform tags
- 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
Navigation structure of the Communications Mining platform, covering the Administration page, navigation bar, and available tabs.
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
Note:
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.