Work through interesting use cases to uncover valuable insights from unstructured text using machine learning and AWS AI services Key Features Discover the key AWS AI services for NLP and how to use them to gain real-time insights Run Python code examples to use Amazon Textract and Amazon Comprehend to accelerate business outcomes Understand how you can integrate human-in-the-loop for custom NLP use cases Book Description Natural Language Processing (NLP) uses machine learning (ML) to uncover information in unstructured data. This book will teach you how 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 and APIs of Amazon Comprehend and Amazon Textract to build NLP applications using Python and Jupyter notebooks. With this NLP book, you'll see 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 intelligent document processing workflows, smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios quickly. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore key 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. What you will learn Automate various NLP workflows on AWS to accelerate business outcomes Use Amazon Textract for text, tables, and handwriting recognition from images and PDF files Gain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon Comprehend Set up end-to-end document processing pipelines to understand the role of human in the loop Develop NLP-based intelligent search solutions with just a few lines of code Create both real-time and batch processing pipelines using Python Who This Book Is For If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code, for a wide variety of NLP use cases. A basic understanding of machine learning concepts and how APIs work is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful. Table of Contents NLP in the Business Context and an Introduction to AWS AI Services Introducing Amazon Textract Introducing Amazon Comprehend Automating Document Processing Workflows Creating NLP Search Using NLP to Improve Customer Service Efficiency Understanding the Voice of Your Customer Analytics Leveraging NLP to Monetize your Media Content Extracting Metadata from Financial Documents Reducing Localization Costs with Machine Translation Using Chatbots for Querying Documents AI and NLP in Healthcare Improving Accuracy of Document Processing Workflows Setting Up Auditing Workflows for Named Entity Detection with Human in the Loop Setting Up Active Learning Workflow for Text Classification Improving Accuracy of PDF Batch Processing with Amazon Textract and Amazon A2I Improving Accuracy of Custom NLP Workflows for Handwriting Detection with Amazon A2I Document Pre-Processing, Post-Processing, and Scaling Best Practices

Book Information
ISBN 9781801812535
Author Mona M
Format Paperback
Page Count 528
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 75g