new_sentences.py

# forming new sentences for testing, feel free to experiment
# sentence 1 is bit sarcastic, whereas sentence two is a general statment.
new_sentence = [
                "granny starting to fear spider in the garden might be real",
                "game of thrones season finale showing this sunday night"]

# Converting the sentences to sequences using tokenizer
new_sequences = tokenizer.texts_to_sequences(new_sentence)
# padding the new sequences to make them have same dimensions
new_padded = pad_sequences(new_sequences, maxlen = max_length,
                           padding = padding_type,
                           truncating = trunc_type)

new_padded = np.array(new_padded )

print(model.predict(new_padded))