NLTK corpus: Compare the similarity of two given nouns
NLTK corpus: Exercise-9 with Solution
Write a Python NLTK program to compare the similarity of two given nouns.
Sample Solution:
Python Code :
from nltk.corpus import wordnet
print("\nComparing ship anb boat:")
n1 = wordnet.synset('ship.n.01')
n2 = wordnet.synset('boat.n.01')
print("\nComparing bus anb boat:")
print(n1.wup_similarity(n2))
n1 = wordnet.synset('bus.n.01')
n2 = wordnet.synset('boat.n.01')
print(n1.wup_similarity(n2))
print("\nComparing red anb greed:")
n1 = wordnet.synset('red.n.01')
n2 = wordnet.synset('green.n.01')
print(n1.wup_similarity(n2))
Sample Output:
Comparing ship anb boat: Comparing bus anb boat: 0.9090909090909091 0.7 Comparing red anb greed: 0.875
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Previous: Write a Python NLTK program to get the overview of the tagset, details of a specific tag in the tagset and details on several related tagsets, using regular expression.
Next: Write a Python NLTK program to compare the similarity of two given verbs.
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Get the Key Whose Value Is Maximal in a Dictionary:
>>> model_scores = {'model_a': 100, 'model_z': 198, 'model_t': 150} >>> # workaround >>> keys, values = list(model_scores.keys()), list(model_scores.values()) >>> keys[values.index(max(values))] 'model_z' >>> # one-line >>> max(model_scores, key=model_scores.get) 'model_z'
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