New Features
Unique to this filter This Filter
Science Update
QuickLearn 2.0, a significant advancement to Luminoso’s science, is coming soon
Enhancements
Volume: Clarified feature configuration options
API: Introduced legacy_term_format as an optional parameter for the Vectorize text endpoint
API: Introduced match_type as an optional parameter for the Get documents endpoint
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Unique to
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This Filter
We’re excited to introduce the Unique to This Filter concept selection feature. Using Unique to This Filter, you can isolate segments within projects and find concepts that are unique to this segment, relative to the rest of the project. Access the new feature in Volume, Sentiment, and Drivers.
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Open the Volume, Sentiment, or Drivers feature.
Select your preferred filters in the Filter documents pane.
Select Unique to this filter in the Configure volume visualization panel. The visualization updates to display concepts that are unique to your filter, relative to the rest of the project.
QuickLearn 2.0
In December, we’re releasing QuickLearn 2.0, the most significant update to Luminoso’s science to date. When it’s released, all new project updates or builds in Daylight will use QuickLearn 2.0. QuickLearn 2.0 provides enhanced conceptual matching for your projects.
Volume: Clarified feature configuration options
With this release, we removed the Select concepts to compare, Sort order, and Break down by field menus that appeared at the top of the Volume feature. This change declutters the feature view and creates more space for exploring data. It also offers the opportunity to more clearly indicate the effect each configuration has on your visualization.
Now, sort your concepts using the column headings. Use the options in the Configure volume visualization pane at the left of the page to show top concepts, saved concepts, or concepts unique to this filter. You can also choose how to count matching documents and whether to visualize concept overall or broken down volume overall.
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API: Introduced legacy_term_format as an optional parameter for the Vectorize text endpoint
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With this release, we added the optional parameter, legacy legacy_term_format, into the API endpoint for vectorizing texts. The parameter still defaults to “true true, ” and returns the array format you’re used to, but now you can specify “false” false and return modern object-style terms and fragments.
API: Introduced match_type as an optional parameter for the Get documents endpoint
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With this release, we added an optional parameter, match match_type, into the API endpoint for getting documents. Now, you can specify if you’re looking for exact or conceptual matches. If you don’t specify matchspecify match_type, you receive both exact and conceptual matches by default.