gensim models.keyedvectors
#gensim #word2vec
https://radimrehurek.com/gensim_3.8.3/models/keyedvectors.html
similarity：ベクトル同士のコサイン類似度の計算
Compute cosine similarity between two words.
https://radimrehurek.com/gensim_3.8.3/models/keyedvectors.html#gensim.models.keyedvectors.WordEmbeddingsKeyedVectors.similarity
model.wv.similarity("単語1", "単語2")
https://www.cse.kyoto-su.ac.jp/~g0846020/keywords/cosinSimilarity.png
計算式：https://www.cse.kyoto-su.ac.jp/~g0846020/keywords/cosinSimilarity.html
sklearn.metrics.pairwise.cosine_similarityを使った計算結果とも一致する
distance：コサイン距離の計算
Compute cosine distance between two words
https://radimrehurek.com/gensim_3.8.3/models/keyedvectors.html#gensim.models.keyedvectors.WordEmbeddingsKeyedVectors.distance
model.wv.distance("単語1", "単語2")
単語1と単語2が同じ時、ベクトルとしては同じなので、similarityは1、distanceは0