NLP with spaCy

gistfile1.txt

# Install spaCy 
pip3 install -U spacy

# Download the large English model for spaCy
python3 -m spacy download en_core_web_lg

# Install textacy which will also be useful
pip3 install -U textacy

# Insert into file.py
import spacy

# Load the large English NLP model
nlp = spacy.load('en_core_web_lg')

# The text we want to examine
text = """London is the capital and most populous city of England and 
the United Kingdom.  Standing on the River Thames in the south east 
of the island of Great Britain, London has been a major settlement 
for two millennia. It was founded by the Romans, who named it Londinium.
"""

# Parse the text with spaCy. This runs the entire pipeline.
doc = nlp(text)

# 'doc' now contains a parsed version of text. We can use it to do anything we want!
# For example, this will print out all the named entities that were detected:
for entity in doc.ents:
    print(f"{entity.text} ({entity.label_})")