Configure the entity extraction analysis by specifying topics, entity extraction models, and rules. Use topics to specify particular keywords and their synonyms that you want to identify in the analyzed text. Entity extraction models and rules help to identify various types of named entities.
Perform this step if you want the system to identify specific keywords and their synonyms.
Perform this step if you want the system to detect and categorize entities whose names are not limited by a certain pattern or a dictionary (for example, names of organizations, people, and so on).
You can define up to six models for the entity extraction analysis. The following entity extraction models are provided by default: pyLocation, pyOrganization, and pyPerson.
Perform this step if you want the system to categorize named entities, based on a certain pattern or a set of dictionary terms that define that entity (for example, names of hardware, identification numbers, and so on).
The following entity extraction rules are provided by default: pyDate, pyEmail, pySalutation, pySSN.