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[Hindi]NLP 13# Tokenization Part-2 |NLP|Python 3|Natural Language Processing|2019

[Hindi]NLP 13# Tokenization Part-2 |NLP|Python 3|Natural Language Processing|2019


Code:


# -*- coding: utf-8 -*-

"""NLP_Ex8.ipynb


Automatically generated by Colaboratory.

"""
import spacy


nlp = spacy.load("en_core_web_sm")

doc5= nlp(u"It's better to give than receive")

doc5[0]

doc5[1:6]

doc5[0] = 'Vishwajeet'

doc6 = nlp(u"Google to build a Gujrat factory for $60 million.")

for token in doc6:
  print(token.text, end=' | ')

for entity in doc6.ents:
  print(entity)
  print(entity.label_)
  print(str(spacy.explain(entity.label_)))
  print('\n')

doc7 = nlp(u"Autonomous cars shift insurance liability towards manufacturers.")

for chunks in doc7.noun_chunks:
  print(chunks)

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