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NLTK corpus: Find the sets of synonyms and antonyms of a given word

NLTK corpus: Exercise-7 with Solution

Write a Python NLTK program to find the sets of synonyms and antonyms of a given word.

From Wikipedia,
WordNet is a lexical database for the English language. It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members.

Sample Solution:

Python Code :

from nltk.corpus import wordnet
synonyms = []
antonyms = []

for syn in wordnet.synsets("end"):
    for l in syn.lemmas():
        synonyms.append(l.name())
        if l.antonyms():
            antonyms.append(l.antonyms()[0].name())
print("\nSet of synonyms of the said word:")
print(set(synonyms))
print("\nSet of antonyms of the said word:")
print(set(antonyms))

Sample Output:

Defination of the said word:
a hostile meeting of opposing military forces in the course of a war

Examples of the word in use::
['Grant won a decisive victory in the battle of Chickamauga', 'he lost his romantic ideas about war when he got into a real engagement']

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Next: 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.

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