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