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An entity type is what DryvIQ is detecting. The DryvIQ Platform comes with pre-installed preinstalled entity types that cover a wide range of data, but you also have the option to create custom entity types. Entity types are assigned to a category that identifies the type of data being detected and a match type that identifies how the data is being detected. This page provides a high-level overview to help you understand entity types. To learn more about a specific match type, refer to the Help Center page for that specific match type.
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Categories identify the type of data being detected. DryvIQ comes with the five default categories listed below. You can also create custom categories if one of the default categories doesn’t capture what your entity type will be identifying. (See Managing Categories for information about creating and managing custom categories.)
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Match Type | Description | |
|---|---|---|
| 1 | Regular expression is a pattern used to identify text. It allows you to have very fine-grained control over what content DryvIQ detects. | |
| 2 | A block list allows matching on a given list of terms within a piece of content. | |
| 3 | This is a custom classification model that is plugged into the system. DryvIQ has four pre-installed preinstalled classification entity types:
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| 4 | Transformation | A transformation entity type allows for applying a custom metadata expression against any prior matches to generate new value. This option is available only through the DryvIQ API. |
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