Python, Classification, Keras, Text.
Padding Next, we tokenize the text data and pad the sequences to ensure uniform input length for the neural network model. tokenizer = Tokenizer(num_words=1000) # Consider top 1000 words tokenizer.fit_on_texts(data['text']) sequences = tokenizer.texts_to_sequences(data['text']) # Padding sequences