Summary
In this chapter, we have covered both stemming and lemmatization in detail by exploring the functionality of both methods, their use cases, and how they can be implemented. Now that we have covered all of the fundamentals of deep learning and NLP preprocessing, we are ready to start training our own deep learning models from scratch.
In the next chapter, we will explore the fundamentals of NLP and demonstrate how to build the most widely used models within the field of deep NLP: recurrent neural networks.