a b/classification.py 

  1
  
# Preprocessing the dataset





  
  

  2
  
dataset_path = 'path/to/dataset'





  
  

  3
  
max_sequence_length = 1000





  
  

  4
  
train_sequences, test_sequences, train_labels, test_labels, label_mapping = preprocess_dataset(dataset_path, max_sequence_length)





  
  

  5
  





  
  

  6
  
# Creating and training the CNN model





  
  

  7
  
cnn_model = create_cnn_model(train_sequences.shape, len(label_mapping))





  
  

  8
  
cnn_accuracy = train_and_evaluate_model(cnn_model, train_sequences, train_labels, test_sequences, test_labels)





  
  

  9
  





  
  

  10
  
# Creating and training the RNN model





  
  

  11
  
rnn_model = create_rnn_model(train_sequences.shape, len(label_mapping))





  
  

  12
  
rnn_accuracy = train_and_evaluate_model(rnn_model, train_sequences, train_labels, test_sequences, test_labels)





  
  

  13
  





  
  

  14
  
print(f"CNN Accuracy: {cnn_accuracy}")





  
  

  15
  
print(f"RNN Accuracy: {rnn_accuracy}")