computed_similarities = []
# FOR ALL WORDS IN MY vocab
for word in nlp.vocab:
similarity = cosine_similarity(new_vector, word.vector)
computed_similarities.append(word,similarity)
computed_similarities = sorted(computed_similarities, key=lambda item:-item[1])
# TOP 10 MOST similar words
print([t[0]].text for t in computed_similarities[:10])