communications-mining
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- 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
Communications Mining User Guide
Last updated Nov 7, 2024
Export a dataset
User permissions required: 'Export datasets' (for full export).
A user can export the messages and associated label predictions directly from the GUI as a CSV file. If they have the 'Export datasets' permission they can export the entire dataset (or a subset based on filters). If they don't, they'll only be able to download the current page of messages in Explore.
To export data from the platform:
- Navigate to Explore and click the export button next to the mode selector in the top-right corner of the page (as shown below)
- This will give you the option to export only the current page of messages in Explore, or all messages that match the current filters that you have applied in Explore (e.g. a given time period, or a metadata property such as NPS score > 8)
- If you apply a label filter, this acts as a sort order for the messages in the CSV download, ordered by the confidence score of the selected label applying to that message
- After selecting 'Just this page' or 'All matching messages', this will trigger a CSV download of your data
Export dataset dropdown
