(1 point) Convert the airline_sentiment column into a list and name it as labels. Define m to be the length of labels and print it out.

(1 point) Convert the text column into a list and name it as tweets.

(2 point) Define the first 2/3 of the entries of labels as train_labels. Similarly, define the first 2/3 of the entries of tweets as train_tweets. Besides, define the remaining entries of labels and tweets as test_labels and test_tweets, respectively.

(1 point) Print out the lengths of train_labels and test_labels.

(1 point) In order to use the labels as the input data for the neural network, convert train_labels and test_labels as NumPy arrays. Name them as train_labels_final and test_labels_final, respectively.