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spacy

Adhun Thalekkara answered on July 15, 2022 Popularity 10/10 Helpfulness 3/10

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spacy

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Edit the code & try spaCy
spaCy v3.4 · Python 3 · via Binder

# pip install -U spacy
# python -m spacy download en_core_web_sm
import spacy

# Load English tokenizer, tagger, parser and NER
nlp = spacy.load("en_core_web_sm")

# Process whole documents
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_)
RUN

Popularity 10/10 Helpfulness 3/10 Language python

Source: spacy.io

Tags: python spacy

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Contributed on Jul 15 2022

Adhun Thalekkara

0 Answers Avg Quality 2/10

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