To find out the similarity among words, we use word similarity. We evaluate the similarity with the help of a number that lies between 0 and 1. We use the spacy library to implement the technique of word similarity.
import spacy
nlp = spacy.load('en_core_web_md')
print("Enter the words")
input_words = input()
tokens = nlp(input_words)
for i in tokens:
print(i.text, i.has_vector, i.vector_norm, i.is_oov)
token_1, token_2 = tokens[0], tokens[1]
print("Similarity between words:", token_1.similarity(token_2))
Output:
hot True 5.6898586 False
cold True6.5396233 False
Similarity: 0.597265
This means that the similarity between the words ‘hot’ and ‘cold’ is just 59 percent.
