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from spacy.lang.en import English
# Load English tokenizer, tagger, parser, NER and word vectors
nlp = English()
text = """Founded in 2002, SpaceX’s mission is to enable humans to become a spacefaring civilization and a multi-planet
species by building a self-sustaining city on Mars. In 2008, SpaceX’s Falcon 1 became the first privately developed
liquid-fuel launch vehicle to orbit the Earth."""
# "nlp" Object is used to create documents with linguistic annotations.
my_doc = nlp(text)
# Create list of word tokens
token_list = []
for token in my_doc:
token_list.append(token.text)
token_list
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