Summary

In this chapter, we covered why you would need to use Amazon Comprehend and Amazon Comprehend Medical. We also discussed the challenges associated with setting NLP pipelines.

Then, we introduced these services, and covered some key benefits they provide, for example, not needing ML skills, or easily using the APIs to build scalable NLP solutions. After that, we showed some key product features of Amazon Comprehend and Amazon Comprehend Medical through a Console demo. Some of Amazon Comprehend's features are identifying entities, key phrases, and sentiment, as well as detecting dominant language, topic modeling, and so on. For Amazon Comprehend Medical, we covered how you can use both text analysis APIs and oncology APIs to enrich and extract key information from medical notes. Then we gave you a quick walkthrough of these APIs using a Jupyter notebook and covered sync and batch sync APIs. We gained a basic theoretical understanding of creating a serverless application...