Chapter 6: Training Natural Language Processing Models
In the previous chapter, you learned how to use SageMaker's built-in algorithms for computer vision (CV) to solve problems including image classification, object detection, and semantic segmentation.
Natural language processing (NLP) is another very promising field in ML. Indeed, NLP algorithms have proven very effective in modeling language and extracting context from unstructured text. Thanks to this, applications such as search and translation applications and chatbots are now commonplace.
In this chapter, you will learn about built-in algorithms designed specifically for NLP tasks and we'll discuss the types of problems that you can solve with them. As in the previous chapter, we'll also cover in great detail how to prepare real-life datasets such as Amazon customer reviews. Of course, we'll train and deploy models too. We will cover all of this under the following topics:
- Discovering the...
