communications-mining
latest
false
- Getting started
- Balance
- Clusters
- Concept drift
- Coverage
- Datasets
- General fields (previously entities)
- Labels (predictions, confidence levels, hierarchy, etc.)
- Models
- Streams
- Model Rating
- Projects
- Precision
- Recall
- Reviewed and unreviewed messages
- Sources
- Taxonomies
- Training
- True and false positive and negative predictions
- Validation
- Messages
- 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
- Delete a source
- Export a dataset
- Using Exchange Integrations
- Preparing data for .CSV upload
- Model training and maintenance
- Understanding labels, general fields 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 annotating 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 general fields
- Generative extraction
- Using analytics and monitoring
- Automations and Communications Mining
- Licensing information
- FAQs and more
Importing your taxonomy
Communications Mining User Guide
Last updated Nov 7, 2024
Importing your taxonomy
You can upload your taxonomy of labels to the Communications Mining platform from a spreadsheet. Uploading your taxonomy from a spreadsheet automatically imports all the labels without having to manually add them during model training.
To import your taxonomy from a spreadsheet, follow these steps:
- Select Settings on the navigation bar, then Taxonomy and Labels and extraction fields.
- Select the drop-down arrow next to the New label button.
- Select Import from spreadsheet from the drop-down list.
- Copy-paste your labels (Parent label > Child label format) and their descriptions (if available) from your spreadsheet.
- Select Import.
Note: It is highly recommended to add label descriptions to your labels to ensure annotating consistency. Adding label descriptions
is particularly helpful if you have several people training the model.
To import your taxonomy from another dataset, follow these steps:
- Select the drop-down arrow next to the New label button.
- Select Import from dataset from the drop-down list.
- Select a dataset name from the drop-down list.
- Select Import.
Note: This copies labels and descriptions only from an existing
dataset. To copy an entire dataset, including annotations and sources, select
Duplicate from the dataset options in the Datasets page.
Manually imported or created labels in the taxonomy view