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Improve landing example [ci skip]

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This commit is contained in:
Ines Montani 2019-03-22 19:02:15 +01:00
parent a841324034
commit dcd6e06c47
1 changed files with 12 additions and 15 deletions
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27
website/src/widgets/landing.js
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@ -23,32 +23,29 @@ import Link from '../components/link'
import BenchmarksChoi from 'usage/_benchmarks-choi.md'
const CODE_EXAMPLE = `# pip install spacy
# python -m spacy download en_core_web_md
# python -m spacy download en_core_web_sm
import spacy
# Load English tokenizer, tagger, parser, NER and word vectors
nlp = spacy.load("en_core_web_md")
nlp = spacy.load("en_core_web_sm")
# Process whole documents
text = (u"When Sebastian Thrun started working on self-driving cars at "
u"Google in 2007, few people outside of the company took him "
u"seriously. “I can tell you very senior CEOs of major American "
u"car companies would shake my hand and turn away because I wasn’t "
u"worth talking to,” said Thrun, now the co-founder and CEO of "
u"online higher education startup Udacity, in an interview with "
u"Recode earlier this week.")
text = ("When Sebastian Thrun started working on self-driving cars at "
"Google in 2007, few people outside of the company took him "
"seriously. “I can tell you very senior CEOs of major American "
"car companies would shake my hand and turn away because I wasn’t "
"worth talking to,” said Thrun, in an interview with Recode earlier "
"this week.")
doc = nlp(text)
# Analyze syntax
print("Noun phrases:", [chunk.text for chunk in doc.noun_chunks])
print("Verbs:", [token.lemma_ for token in doc if token.pos_ == "VERB"])
# Find named entities, phrases and concepts
for entity in doc.ents:
print(entity.text, entity.label_)
# Determine semantic similarities
doc1 = nlp(u"my fries were super gross")
doc2 = nlp(u"such disgusting fries")
similarity = doc1.similarity(doc2)
print(doc1.text, doc2.text, similarity)
`
/**