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

What Is Natural Language Understanding?

NLP is the general term for a set of technologies that deal with natural language. Natural Language Understanding (NLU) is a focused subset of NLP that deals with actual conversational input.

NLU can handle unstructured inputs and convert them into a structured, machine-understandable form. Words that the user enters are transformed into intents and entities, or slots. The NLU chatbot is further able to infer intents and slots from user input, which may be similar to – but not the same as – the examples it has been trained with.

Core Concepts in a Nutshell

Before we can get started with building chatbots, you will need to understand some concepts first. Let's take a look at the technical meaning of the term chatbot and the names of the pieces that make up a chatbot and work together to deliver a conversational experience to the user.

Chatbot

A chatbot, also known as a bot or artificial conversation entity...