Cosine Similarity, Euclidean Distance, Naturallanguageprocessing.
from scipy.spatial import distance A = (5, 3) B = (2, 4) d = 1 - distance.cosine(A, B) print('Cosine Distance:',d)OUTPUT: Cosine Distance: 0.8436614877321075 Summary Now you’re familiar with the main intuition behind the use of cosine similarity as a metric to compare the similarity between two