Classification, Text, Python, Keras.
y_test = train_test_split(padded_sequences, categorical_labels, test_size=0.2, random_state=42) In this step, we have loaded the dataset from a CSV file, tokenized the text data, converted text sequences to padded sequences, and split the dataset into training and testing sets. Step 3: Model