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
Importing your taxonomy
Communications Mining User Guide
Last updated Apr 18, 2024
Importing your taxonomy
You can upload your taxonomy to the Communications Mining platform from a spreadsheet, which will automatically import all labels without having to manually add them during model training.
Step-by-step guide to import your taxonomy:
- Click on the Settings page on the navigation bar
- Click on ‘Labels & Entities’
- Click on the + icon
- Click on ‘Import Labels’
- Copy-paste your labels (Parent label > Child label format) and their descriptions (if available)
- Click on ‘Import’
Accessing 'Import labels' feature
Note: You can also add some pre-trained labels in this step. Pre-trained labels (such as OOO, Thank-you, Urgent, Chaser, etc.) are generic concepts that have been pre-trained on a large pool of data.
Example input when importing labels to Communications Mining
Note: It’s highly recommended to add label descriptions to your labels to ensure labelling consistency, which is particularly helpful if you have several people training the model.
Example output when importing labels to Communications Mining