With the help of
Python3 1=1
Output :
Python3 1==
nltk.tokenize.WordPunctTokenizer()() method, we are able to extract the tokens from string of words or sentences in the form of Alphabetic and Non-Alphabetic character by using tokenize.WordPunctTokenizer()() method.
Syntax : tokenize.WordPunctTokenizer()()
Return : Return the tokens from a string of alphabetic or non-alphabetic character.
Example #1 :
In this example we can see that by using tokenize.WordPunctTokenizer()() method, we are able to extract the tokens from stream of alphabetic or non-alphabetic character.
# import WordPunctTokenizer() method from nltk
from nltk.tokenize import WordPunctTokenizer
# Create a reference variable for Class WordPunctTokenizer
tk = WordPunctTokenizer()
# Create a string input
gfg = "GeeksforGeeks...$$&* \nis\t for geeks"
# Use tokenize method
geek = tk.tokenize(gfg)
print(geek)
['GeeksforGeeks', '...$$&*', 'is', 'for', 'geeks']Example #2 :
# import WordPunctTokenizer() method from nltk
from nltk.tokenize import WordPunctTokenizer
# Create a reference variable for Class WordPunctTokenizer
tk = WordPunctTokenizer()
# Create a string input
gfg = "The price\t of burger \nin BurgerKing is Rs.36.\n"
# Use tokenize method
geek = tk.tokenize(gfg)
print(geek)
Output :
['The', 'price', 'of', 'burger', 'in', 'BurgerKing', 'is', 'Rs', '.', '36', '.']