Python | NLTK nltk.tokenize.ConditionalFreqDist()

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. Python3 1=1

# 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 : Python3

# 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})