Python NLTK | tokenize.regexp()
Last Updated :
07 Jun, 2019
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With the help of
Python3 1==
Output :
Python3 1==
Output :
NLTK tokenize.regexp() module, we are able to extract the tokens from string by using regular expression with RegexpTokenizer() method.
Syntax : tokenize.RegexpTokenizer()
Return : Return array of tokens using regular expression
Example #1 :
In this example we are using RegexpTokenizer() method to extract the stream of tokens with the help of regular expressions.
# import RegexpTokenizer() method from nltk
from nltk.tokenize import RegexpTokenizer
# Create a reference variable for Class RegexpTokenizer
tk = RegexpTokenizer('\s+', gaps = True)
# Create a string input
gfg = "I love Python"
# Use tokenize method
geek = tk.tokenize(gfg)
print(geek)
['I', 'love', 'Python']Example #2 :
# import RegexpTokenizer() method from nltk
from nltk.tokenize import RegexpTokenizer
# Create a reference variable for Class RegexpTokenizer
tk = RegexpTokenizer('\s+', gaps = True)
# Create a string input
gfg = "Geeks for Geeks"
# Use tokenize method
geek = tk.tokenize(gfg)
print(geek)
['Geeks', 'for', 'Geeks']
