NLP with Spacy

# Imports the English language class
# from spacy.lang.en import English
# Creates the NLP object
# nlp = English()

# The Doc Object/ Created by processing this string with the nlp object 
# doc = nlp("Hello World!")

# for token in doc:
#    print(token.text) #Output will be Hello, World, and ! on seperate lines
    
# To get a span from the doc, use the slicing method
#span = doc[1:]
#print(span) # Output will be World! on the same line

import spacy

# Load the small English model of spacy
nlp = spacy.load('en_core_web_sm')


text = "Apple is now worth $5 Billion."

doc = nlp(text)

for token in doc:
    print(token.text, token.pos_)