twitter_pos.py 文件源码

def word_list_to_embedding(words, embeddings, embedding_dimension=50):
    '''
    :param words: an n x (2*window_size + 1) matrix from data_to_mat
    :param embeddings: an embedding dictionary where keys are strings and values
    are embeddings; the output from embeddings_to_dict
    :param embedding_dimension: the dimension of the values in embeddings; in this
    assignment, embedding_dimension=50
    :return: an n x ((2*window_size + 1)*embedding_dimension) matrix where each entry of the
    words matrix is replaced with its embedding
    '''
    m, n = words.shape
    words = words.reshape((-1))

    return np.array([embeddings[w] for w in words], dtype=np.float32).reshape(m, n*embedding_dimension)

#
# End Twitter Helper Functions
#