Natural Language Processing with AWS AI Services

By Mona M , Premkumar Rangarajan
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About this book

Natural Language Processing (NLP) uses machine learning (ML) to uncover information in unstructured data. This book will help you 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. You'll learn 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 book, you'll have the confidence to use AWS AI services to build powerful NLP applications.

Publication date:
November 2021
Publisher
Packt
Pages
489
ISBN
9781801812535

About the Authors

  • Mona M

    Mona M is an AI/ML specialist solutions architect focused on AWS Worldwide Public Sector customers. She is a highly skilled IT professional bringing more than 8 years in software design, development, and integration across diverse work environments. As an AWS Solution architect, her role is to ensure customer success in building applications and services on the AWS platform. She is responsible for crafting highly scalable, flexible, and resilient cloud architecture that addresses customer business problems.

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  • Premkumar Rangarajan

    Premkumar Rangarajan is an Enterprise Solutions Architect at Amazon Web Services. He has 24 years of experience in the IT industry in a variety of roles including delivery lead, integration specialist, and enterprise architect. He has significant architecture and management experience in delivering large-scale programs in various industries and platforms. He is passionate about helping customers solve machine learning and AI problems and researching autonomous navigation systems.

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Natural Language Processing with AWS AI Services
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