Python| NLTK nltk.tokenize.ConditionalFreqDist()

在nltk.tokenize.ConditionalFreqDist()方法的帮助下，我们可以使用tokenize.ConditionalFreqDist()方法计算句子中单词的频率。

Syntax : tokenize.ConditionalFreqDist()
Return : Return the frequency distribution of words in a dictionary.

示例 #1：
在这个例子中，我们可以看到，通过使用tokenize.ConditionalFreqDist()方法，我们能够统计一个句子中单词的出现次数。

# import ConditionalFreqDist() method from nltk
from nltk.probability import ConditionalFreqDist
from nltk.tokenize import word_tokenize
     
# Create a reference variable for Class SExprTokenizer
tk = ConditionalFreqDist()
     
# Create a string input
gfg = "Geeks for Geeks"
     
for word in word_tokenize(gfg):
   condition = len(word)
   tk[condition][word] += 1
     
print(tk)

输出 ：

FreqDist({‘Geeks’: 2, ‘for’: 1})

示例 #2：

# import ConditionalFreqDist() method from nltk
from nltk.probability import ConditionalFreqDist
from nltk.tokenize import word_tokenize
     
# Create a reference variable for Class SExprTokenizer
tk = ConditionalFreqDist()
     
# Create a string input
gfg = "G F G"
     
for word in word_tokenize(gfg):
   condition = len(word)
   tk[condition][word] += 1
     
print(tk)

输出 ：

FreqDist({‘G’: 2, ‘F’: 1})