Entity extraction analysis

The entity extraction analysis is the process of extracting named entities from unstructured text like press articles, Facebook posts, tweets, and so on, and categorizing them. Typically, a named entity is a proper noun that falls into a commonly understood category such as a "person," "organization," "location," and so on.

The Pega 7 Platform allows you to perform the following types of entity extraction analysis:

• Identify topics and their synonyms in the analyzed text. You can configure the entity extraction analysis to identify the terms or keywords that you specified on the Free Text Model rule form as "Topics." You can assign each topic with a set of synonyms as the topic can be referred to in multiple ways, depending on the domain.
• Identify entities that belong to the predefined categories ("Data," "Date," "Location," "Organization," "Person," and "Product"). The identification of the entity and the category it can fit into is based on the entity extraction models available on the Pega 7 Platform.

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