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

Chapter 16: Improving the Accuracy of PDF Batch Processing

Congratulations on getting so far in this book! At this point, you are an advanced builder of real-world applications that harness the power of NLP and AI to deliver tangible business benefits. You may not have realized it but the topics we've covered so far – and will continue to cover – address some of the most popular, in-demand business challenges that we have helped our customers with. Intelligent Document Processing (IDP) is a very hot requirement today and is something prevalent across almost every industry type. We started reading about advanced concepts from Chapter 13, Improving the Accuracy of Document Processing Workflows onward, and we saw how Amazon A2I (https://aws.amazon.com/augmented-ai/) plays a key role in making human reviews of your ML workflows easier and more accurate, enabling active learning in the process.

In this chapter, we will tackle an operational need that has been around...