Function find_analogies

nlp_class2/pretrained_w2v.py:38–40

(w1, w2, w3)

#  ('pablo', 0.5631559491157532),
#  ('malta', 0.5620371103286743)]
def find_analogies(w1, w2, w3):
  r = word_vectors.most_similar(positive=[w1, w3], negative=[w2])
  print("%s - %s = %s - %s" % (w1, w2, r[0][0], w3))

def nearest_neighbors(w):
  r = word_vectors.most_similar(positive=[w])