spacy_similarity.py

import spacy

nlp = spacy.load('en_vectors_web_lg')

text1 = 'The medical field is moving forward rapidly.'
text2 = 'Medicine is vital to the industry.'
text3 = 'Reggie Miller is a basketball player.'

doc1 = nlp(text1)
doc2 = nlp(text2)
doc3 = nlp(text3)

for doc in (doc2, doc3):
    print(doc1.similarity(doc))

# Prints out:
# 0.8917278032126783
# .616120289899652