Named Entity Locator

Named Entity Locator icon The Named Entity Locator is used to assign extracted entities to fields by using the Natural Language Processing engine. This engine takes several seconds per page longer than regular recognition.

Named entities are text grouping such as a people, places, organizations, roles, times, amounts, etc. These named entities are found in unstructured, natural language text like sentences found in emails, documents, or even a report, to name a few.

Because this type of data is difficult to extract with other locators unless you have a known set of criteria to search for, such as a database with people names, this is where the Named Entity Locator comes in. It is able to extract data based on its grammatical placement in a document.

If you need to extract more than one type of entity, a separate Named Entity Locator is required for each entity type.

Once the entities are extracted, a customized script is needed to interpret the entities. For more information on scripting, refer to the Kofax TotalAgility Scripting Help.

When configuring a Named Entity Locator, the biggest decision is how much information you want. If you are interested in the entity name only, use a simple field, as this is the only information returned. If you want to know the entity name, entity type, confidence, and sentiment of a document, use a table field.

The Properties of Named Entity Locator window has the following tabs that enable you to configure the extracted entities.