Recurrent Neural Network, Text Classification, Sentiment Analysis, Imdb Text Classification, Binary Classification.
is >= 0.0, it is positive else it is negative. sample_text = ('The movie was cool. The animation and the graphics were out of this world. I would recommend this movie.') predictions = model.predict(np.array([sample_text])) predictions Output: sample_text_2 = ('The movie was very bad, total waste of