rnn23

embedding_matrix = np.zeros((len(corpus) + 1, 300))
for i,word in enumerate(corpus):
  if word in glove_dict.keys():
    embedding_vec = glove_dict[word]
    embedding_matrix[i] = embedding_vec

 
print(embedding_matrix.shape)  

np.save('embedding_matrix_2.npy',embedding_matrix)