text_plain_output_1.png
from keras.datasets import imdb

(x_train, y_train), (x_test, y_test) = imdb.load_data(path='imdb.npz', num_words=None, skip_top=0, maxlen=None, seed=113, start_char=1, oov_char=2, index_from=3)

word_index = imdb.get_word_index()

for keys, values in word_index.items():
    if values == 1:
        print(keys)