- 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
- Enabling Communications Mining™
- Unified Pricing
- Flex Plan
- FAQs and more

Communications Mining user guide
Enabling Communications Mining™
- For the Unfied Pricing
Plan:
- You have an Enterprise, Standard, or Basic+ Automation Cloud license.
- Your Automation Cloud organization has available units, that is more than zero.
Note:If you do not currently have an Enterprise or Standard licence, contact your account manager for available Enterprise or Standard trials.
If you have an Enterprise, Standard, or Basic+ license, but no units available, contact your account manager to purchase some.
- For the Flex Plan:
- You have an Enterprise Automation Cloud license.
- Your Automation Cloud organization has available units, that is more than zero.
-
Note:
If you do not currently have an Enterprise license, contact your account manager for available Enterprise trials.
If you have an Enterprise license, but no units available, contact your account manager to purchase some.
- Go to the Automation Cloud navigation menu, and select Admin.
- Select Licenses.
- Select the Consumables tab.
- Check the available units under the Platform Units or AI Units section.
# | Task | Responsible Role(s) |
1 | Gain access to the platform via Automation Cloud. | Org Admin on Automation Cloud |
2 | Enable IXP as a service on an Automation Cloud tenant. | All users that require access |
3 | Optionally, create a Communications Mining project type in IXP. | Org Admin on Automation Cloud |
4 | Optionally, add applicable users to that project, and specify their permissions. | Org Admin on Automation Cloud |
Once you complete these steps, an admin can add the data source(s), create the dataset in Communications Mining. Then, you can start training your model.