November 2018
Beginner to intermediate
182 pages
4h 48m
English
Content preview from Natural Language Processing with Python Quick Start Guide
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Entity types
spaCy supports the following entity types in the large language model that we loaded in the nlp object:
| Type | Description |
|---|---|
| PERSON | People, including fictional people |
| NORP | Nationalities or religious or political groups |
| FAC | Buildings, airports, highways, bridges, and so on |
| ORG | Companies, agencies, institutions, and so on |
| GPE | Countries, cities, states |
| LOC | Non-GPE locations, mountain ranges, bodies of water |
| PRODUCT | Objects, vehicles, foods, and so on (not services) |
| EVENT | Named hurricanes, battles, wars, sports events, and so on |
| WORK_OF_ART | Titles of books, songs, and so on |
| LAW | Named documents made into laws |
| LANGUAGE | Any named language |
| DATE | Absolute or relative dates or periods |
| TIME | Times smaller than ... |
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