Spacy Part 2

Named Entity Recognition

If we check Wikipedia we get to know the following definition of Named Entity Recognition (NER).

---

Named Entity Recognition (NER), also known as entity identification, entity chunking, and entity extraction is a subtask of information extraction that seeks to locate and classify a named entity mentioned in unstructured text into pre-defined categories. These categories could include things like person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

---

Spacy provides the following named entities.

Type	Description
PERSON	People, including fictional.
NORP	Nationalities or religious and political groups
FAC	Buildings, airports, highways, bridges, etc.
ORG	Companies, agencies, institutions, etc.
GPE	Countries, cities, states.
LOC	Non-GPE locations, mountain ranges, and bodies of water
PRODUCT	Objects, vehicles, foods, etc. (Not services)
EVENT	Named hurricanes, battles, wars, sports events, etc.
WORK_OF_ART	Titles of books, songs, etc.
LAW	Named documents made into laws.
LANGUAGE	Any named language.
DATE	Absolute or relative dates or periods.
TIME	Times smaller than a day.
PERCENT	Percentage, including ”%“.
MONEY	Monetary values, including unit.
QUANTITY	Measurements, as of weight or distance.
ORDINAL	“first”, “second”, etc.
CARDINAL	Numerals that do not fall under another type.

Coding exercise