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Python | NLTK nltk.tokenize.ConditionalFreqDist()

  • Last Updated : 22 Nov, 2019

With the help of nltk.tokenize.ConditionalFreqDist() method, we are able to count the frequency of words in a sentence by using tokenize.ConditionalFreqDist() method.

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

Example #1 :
In this example we can see that by using tokenize.ConditionalFreqDist() method, we are able to count the occurrence of words in a sentence.




# 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)

Output :

FreqDist({‘Geeks’: 2, ‘for’: 1})



Example #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)

Output :

FreqDist({‘G’: 2, ‘F’: 1})

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