Python Natural Language Processing

Classes of NER

NER tools generally segregate the entities into some predefined classes. Different NER tools have different types of classes. The Stanford NER tool has three different versions based on the NER classes:

• The first version is the three-class NER tool that can identify the entities - whether it's Location, Person, or Organization.
• The second version is the four-class NER tool that can identify the Location, person, Organization, and Misc. Misc is referred to as a miscellaneous entity type. If an entity doesn't belong to Location, Person, or Organization and is still an entity, then you can tag it as Misc.
• The third version is a seven-class tool that can identify Person, Location, Organization, Money, Percent, Date, and Time. ...