CODEWITHSUNDEEP
pythonnlp
user10704360
user10704360

Reputation:

input a string and compare each word with a given word using NLP Python

I want to input a string, tokenize it, and compare each word with a specific word (in this code, the word is 'play'). I have the code

from nltk.tokenize import word_tokenize

txt = "bat ball cocaine golf football cake leg hand me you her she he dog cat drug"

x = word_tokenize(txt)
from nltk.corpus import wordnet 


for i in range (10):
    syn = wordnet.synsets(x[i])[0]
    print ("Synset name :  ", syn.name())

    w1 = wordnet.synset('play.n.01') 
    w2 = wordnet.synset(syn) 
    print(w1.wup_similarity(w2)) 
i = i +1

This gives an error:

AttributeError                            Traceback (most recent call last)
<ipython-input-127-a30645977ba6> in <module>()
     13 
     14     w1 = wordnet.synset('play.n.01')
---> 15     w2 = wordnet.synset(syn) 
     16     print(w1.wup_similarity(w2))
     17 i = i +1

help

Upvotes: 0

Views: 73

Answers (1)

Mikhail Vlasenko
Mikhail Vlasenko

Reputation: 140

You passed the wrong argument to the function.

Instead, you should've passed syn.name()

Use this w2 = wordnet.synset(syn.name())

With this correction, IndexError: list index out of range raises on 10th iteration.

Try this to solve the problem

syn = wordnet.synsets(x[i])
if syn:
    syn = syn[0]
else:
    continue

Upvotes: 0

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