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- Introduction
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields (previously entities)
- Labels (predictions, confidence levels, hierarchy, etc.)
- 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
- Create or delete a data source in the GUI
- Uploading a CSV file into a source
- Preparing data for .CSV upload
- Create a new dataset
- Multilingual sources and datasets
- Enabling sentiment on a dataset
- Amend dataset settings
- Delete messages via the UI
- Delete a dataset
- Export a dataset
- Using Exchange Integrations
- Model training and maintenance
- Understanding labels, general fields, and metadata
- Label hierarchy and best practices
- Analytics vs. automation use cases
- Turning your objectives into labels
- Overview of the model training process
- Generative Annotation (NEW)
- 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 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 general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining
- Licensing information
- FAQs and more
Important :
Communications Mining is now part of UiPath IXP. Check the User Guide Introduction for more details.
Communications Mining User Guide
Last updated May 12, 2025
Metering and charging logic
Note: Depending on the plan you have, Flex or Unified Pricing, the units
referenced in this section will correspond to AI Units for the Flex Plan or Platform
Units for Unified Pricing.
Communications Mining utilization is measured based on the consumption rate of units.
In Communications Mining, units are consumed when data is uploaded to the platform, at a rate of 0.2 Platform Units or 1 AI Unit per upload, as follows:
- Per created message, for example, a comment in the API, such as an email.
- Per updated message, if the text of the data was modified.
Note: As Communications Mining models continuously retrain, and predictions automatically update, you are not charged on a per-prediction
basis, but per message.
You will be charged 0.2 Platform Units or 1 AI Unit per message for the following operations:
- Uploading data into the platform via the API.
- Uploading comments or raw emails (sync and sync-raw-email routes).
- Fetching predictions for comments or raw emails that are not in the platform (predict and predict-raw-email routes).
- Uploading data into the platform via the CLI.
- Uploading data into the platform via integrations.
- Syncing emails via the Exchange Integration
- Syncing Salesforce objects via the Salesforce Integration
- Uploading data into the platform via the platform user interface.
Once uploaded, Communications Mining stores messages with no additional charge for 2 years.
