This algorithm performs basic named entity extraction, identifying and extracting entities such as people and places from unstructured text data. It is designed to provide a simple and efficient solution for automated entity recognition.
Expect to receive a list of hash references containing information about the named entity, such as the entity name, class of the entity (person, organization, place, etc.), and a score hash reference that breaks down possible classes for that entity. Additionally, the hash reference also includes the count of occurrences of each specific entity.
The accuracy of the results improves as you input more text into the module. To get started, simply import the Lingua::EN::NamedEntity module and run extract_entities on your desired text.
Overall, Lingua::EN::NamedEntity is a simple and efficient Perl tool for identifying and extracting named entities from text.
Version 1.9: N/A