# Import spaCy and load the language library
import spacy
nlp = spacy.load('en_core_web_sm')

# Create a Doc object
doc = nlp(u'Tesla is looking at buying U.S. startup for $6 million')

# Print each token separately
for token in doc:
    print(token.text, token.pos_, token.dep_)

















nlp.pipeline


nlp.pipe_names





doc2 = nlp(u"Tesla isn't   looking into startups anymore.")

for token in doc2:
    print(token.text, token.pos_, token.dep_)





doc2


doc2[0]


type(doc2)





doc2[0].pos_





doc2[0].dep_





spacy.explain('PROPN')


spacy.explain('nsubj')








# Lemmas (the base form of the word):
print(doc2[4].text)
print(doc2[4].lemma_)


# Simple Parts-of-Speech & Detailed Tags:
print(doc2[4].pos_)
print(doc2[4].tag_ + ' / ' + spacy.explain(doc2[4].tag_))


# Word Shapes:
print(doc2[0].text+': '+doc2[0].shape_)
print(doc[5].text+' : '+doc[5].shape_)


# Boolean Values:
print(doc2[0].is_alpha)
print(doc2[0].is_stop)





doc3 = nlp(u'Although commmonly attributed to John Lennon from his song "Beautiful Boy", \
the phrase "Life is what happens to us while we are making other plans" was written by \
cartoonist Allen Saunders and published in Reader\'s Digest in 1957, when Lennon was 17.')


life_quote = doc3[16:30]
print(life_quote)


type(life_quote)








doc4 = nlp(u'This is the first sentence. This is another sentence. This is the last sentence.')


for sent in doc4.sents:
    print(sent)


doc4[6].is_sent_start