Synonyms/Antonyms using WordNet

Generating Synonyms

Generating synonyms for a word is a fairly straightforward task since the words are grouped as synsets already. The Lemmas are the word’s synonyms, which we can append in a list.

synonyms = []
for synonym in wn.synsets('Animal'):
  for lemma in synonym.lemmas():
    synonyms.append(lemma.name())
print(synonyms)

You can also try this code with Online Python Compiler

Run Code

Output

['animal', 'animate_being', 'beast', 'brute', 'creature', 'fauna', 'animal', 'carnal', 'fleshly', 'sensual']

Generating Antonyms

Like we saw above, lemmas are the synonyms words; now, to get the antonyms of a word, we must get the antonyms of the lemmas, using the lemma.antonyms() function.

antonyms = []
for synonym in wn.synsets('single'):
  for lemma in synonym.lemmas():
    if lemma.antonyms():
      antonyms.append(lemma.antonyms()[0].name())
print(antonyms)

You can also try this code with Online Python Compiler

Run Code

Output

['common', 'double', 'multiple', 'married']

antonyms = []
for synonym in wn.synsets('tall'):
  for lemma in synonym.lemmas():
    if lemma.antonyms():
      antonyms.append(lemma.antonyms()[0].name())
print(antonyms)

You can also try this code with Online Python Compiler

Run Code

Output

['short']

FAQs

1. What is WordNet?

WordNet is a huge lexical database for the English Language.

2. How big is the WordNet Database?

The WordNet database has 155,287 English words and 117,659 synonym sets.

3. What is the similarity index?

The similarity index signifies how closely two words are related to each other, where one signifies the two words are the same and zero signifies completely different words.

Key Takeaways

Congratulations on finishing the blog!! Below, I have some blog suggestions for you. Go ahead and take a look at these informative articles.

In today’s scenario, more & more industries are adapting to AutoML applications in their products; with this rise, it has become clear that AutoML can be the next boon in the technology. Check this article to learn more about AutoML applications.

Check out this link if you are a Machine Learning enthusiast or want to brush up your knowledge with ML blogs.

If you are preparing for the upcoming Campus Placements, don't worry. Coding Ninjas has your back. Visit this link for a carefully crafted and designed course on-campus placements and interview preparation.