借助nltk.tokenize.SpaceTokenizer()
方法,我們可以使用以下方法根據單詞之間的空間從字符串中提取標記tokenize.SpaceTokenizer()
方法。
用法:tokenize.SpaceTokenizer()
返回:Return the tokens of words.
範例1:
在這個例子中,我們可以通過使用tokenize.SpaceTokenizer()
方法,我們能夠從流中提取標記到單詞之間有空格的單詞。
# import SpaceTokenizer() method from nltk
from nltk.tokenize import SpaceTokenizer
# Create a reference variable for Class SpaceTokenizer
tk = SpaceTokenizer()
# Create a string input
gfg = "Geeksfor Geeks.. .$$&* \nis\t for geeks"
# Use tokenize method
geek = tk.tokenize(gfg)
print(geek)
輸出:
[‘Geeksfor’, ‘Geeks..’, ‘.$$&*’, ‘\nis\t’, ‘for’, ‘geeks’]
範例2:
# import SpaceTokenizer() method from nltk
from nltk.tokenize import SpaceTokenizer
# Create a reference variable for Class SpaceTokenizer
tk = SpaceTokenizer()
# 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)
輸出:
[‘The’, ‘price\t’, ‘of’, ‘burger’, ‘\nin’, ‘BurgerKing’, ‘is’, ‘Rs.36.\n’]
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注:本文由純淨天空篩選整理自Jitender_1998大神的英文原創作品 Python NLTK | nltk.tokenize.SpaceTokenizer()。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。