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

Introduction to Conversational AI

Like the other chapters in this book, this chapter spans the conceptual aspects as well as pragmatic hands-on building – this time, the domain is Conversational AI. From many reports, it's stated that the conversational AI market will grow more than 30% per year and that the majority of customers, as well as employees, will be interacting with digital assistants.

The challenge in creating responsive, intelligent, and interactive bots is that, for machines, conversation is very hard to achieve. Let's look at the top three reasons why this is the case:

  • Conversation conveys only the essential information – most of the information that's derived from a conversation is not even in the conversation. That is because humans have common sense, reasoning, shared context, knowledge, and assumptions at hand. We also overload a conversation with meanings derived from tonality, facial expressions, and even non-verbal communication...