Book Image

Natural Language Processing with AWS AI Services

By : Mona M, Premkumar Rangarajan
Book Image

Natural Language Processing with AWS AI Services

By: Mona M, Premkumar Rangarajan

Overview of this book

Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today’s business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications.
Table of Contents (23 chapters)
1
Section 1:Introduction to AWS AI NLP Services
5
Section 2: Using NLP to Accelerate Business Outcomes
15
Section 3: Improving NLP Models in Production

Using Amazon Comprehend with your applications

In this section, you will see a detailed walkthrough of broad categories of APIs available for Amazon Comprehend and Comprehend Medical through a Jupyter notebook example, which you can run in your AWS account. To set up the notebook, refer to the Technical requirements section of this chapter.

We will be showing you a subset of key APIs in Comprehend along with their functions, and then will talk about how you can build applications integrating with AWS Lambda, API Gateway, and Comprehend.

Note

We will cover Amazon Comprehend Medical APIs in Chapter 12, AI and NLP in Healthcare.

Let's start with the Amazon Comprehend APIs first. Amazon Comprehend provides three types of API.

  • Real-time APIs: For all the text analysis features we covered and Comprehend Custom model endpoints.
  • Batch real-time APIs: For all the text analysis features.
  • Batch or analysis job APIs: For all text analysis features, topic modeling...