Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
for “king”, likely because those “man” and “woman” are related themselves. v = doc[1].vector - (doc[0].vector*2) + (doc[8].vector*2) from scipy.spatial import distance import numpy as np # Format the vocabulary for use in the distance function vectors = [token.vector for token in doc] vectors =