Book Image

The Applied AI and Natural Language Processing Workshop

By : Krishna Sankar, Jeffrey Jackovich, Ruze Richards
Book Image

The Applied AI and Natural Language Processing Workshop

By: Krishna Sankar, Jeffrey Jackovich, Ruze Richards

Overview of this book

Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS). Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You’ll then integrate AI with AWS to build serverless services and use Amazon’s NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You’ll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images. By the end of The Applied AI and NLP Workshop, you’ll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.
Table of Contents (8 chapters)
Preface

Amazon Comprehend

Amazon Comprehend is a text analytics service. It has a broad spectrum of capabilities. Amazon Comprehend can extract key phrases and entities. It can do language detection and topic modeling. It can also perform sentiment analysis as well as syntax analysis. Amazon Comprehend is multilingual. Some of the applications of Amazon Comprehend include:

  • Understanding the main themes and topics of various unstructured text items such as support tickets, social media posts, customer feedback, customer complaints, and business documents such as contracts and medical records.
  • Knowledge management by categorizing business documents such as internal procedures, white papers, notes and descriptions, media posts, and emails.
  • Brand monitoring—effectively responding to social media posts, reviews, and other user-generated content from various channels. Respond faster by prioritizing the content as well as routing the content to the appropriate person or process...