The ‘My Data’ section is the central workspace in DXT360 where all collected mentions, conversations, and monitored content are stored and managed. It allows you to explore campaign data, apply filters, review mentions across channels, and perform operational tasks such as sentiment editing, translation, labeling, deleting, recovering, and exporting raw data.
This section is designed to help you analyze conversations more efficiently while maintaining full control over your monitored data. Whether you are monitoring brand campaigns, tracking issues, or reviewing customer feedback, My Data provides a single place to organize and manage your content.
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What You Can Do in My Data
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Understanding the Interface
The Filter Sources section helps you control and narrow down the data displayed in My Data. You can filter mentions using three main source categories: Campaigns, Tags, and Labels, making it easier to focus on specific monitoring objectives or reporting needs. You can select one or multiple filters simultaneously to refine your data view more accurately. The selected filter count is displayed directly on each filter button for quick visibility. Available Filter Sources
Read Filter Source: Now with 'Labels' Filter for Sharper Data Control
The Data Capture Period feature allows you to define the timeframe for the data displayed. You can:
This helps you compare campaign performance across different periods and identify trends more effectively.
The Search feature allows you to locate specific mentions quickly using keywords or phrases. You can combine this with Advanced Filters to refine results further. Available Filtering Options Depending on your account configuration and channel availability, filters may include:
Advanced filtering helps reduce noise and improves analysis accuracy, especially for large datasets. Read Advanced Filters in DXT360 Analytics
The Mentions Feed displays all matching content collected from your selected sources and filters. Depending on the connected channels, mentions may include:
You can:
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AI-Powered Sentiment Status DXT360 supports asynchronous AI-powered sentiment analysis for certain workflows. In some cases, mentions may appear in My Data before the sentiment process is fully completed. When this happens, the mention will display an “Analyzing…” status. What “Analyzing…” Means
Once processing is completed, the status will automatically update to:
Important Notes
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Generating Raw Data You can export data from My Data using the Generate Raw Data feature. This feature allows you to download mentions and related metrics for reporting, presentation, or further analysis. Available Export Options Depending on your configuration, DXT360 may provide:
Exports raw, mention-level data for detailed analysis, validation, and investigation. Best for:
Exports summarized data grouped by campaign, tag, or channel for reporting, trend analysis, and performance comparison. Best for:
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Data Operations The My Data section provides several data management operations to help maintain data quality and improve reporting accuracy. These operations can be performed individually or in batch mode. Available Data Operations
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Sentiment Editing Sentiment values are automatically generated using DXT360’s sentiment analysis engine and AI processing. However, users can manually adjust sentiment classifications whenever needed. Why Sentiment Editing Is Important Manual sentiment editing helps:
How Sentiment Editing Works When editing sentiment:
Supported sentiment categories include:
Batch Sentiment Editing You can edit sentiment for multiple mentions simultaneously to speed up operational workflows. This is especially useful for:
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Content Translation DXT360 provides automated translation capabilities to help users understand multilingual conversations more efficiently. Translations can be performed directly from the mention feed. Supported Languages The platform currently supports translation for selected languages, including:
Additional languages may be added in future updates. |
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Content Deleting & Data Cleansing DXT360 allows users to remove irrelevant or unwanted mentions from analysis. This helps improve dashboard cleanliness and reporting relevance. Common Reasons for Deleting Data
Deleted posts are retained in the Deleted Posts section for up to 30 days and can be recovered during this period. Once the retention period expires, the posts are permanently deleted and can no longer be restored. |
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Recovering Deleted Posts Deleted mentions can be reviewed and restored through the Deleted Posts section. Recovery Capabilities You can:
Important Notes
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Labels in My Data Labels help organize and categorize mentions more effectively. You can apply labels manually or use labels together with dashboard filters and reporting workflows. Benefits of Labels Labels help you:
Example Labels
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Follow Post Feature The Follow Post feature allows you to monitor specific conversations or posts more closely. This is useful when tracking:
Followed posts can continue to collect updates depending on channel support and platform limitations. |