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 a Chatbot?

A chatbot is a specific instance of a task-oriented conversational AI – the goal is to be able to hold a conversation with the user to the extent required in order to resolve customer queries, perform a task that the customer requests, or suggest a way to move forward from them.

As in normal conversation, the means by which we interact with the bot can be written text or speech. Often, the chatbots are integrated with messaging platforms, such as Slack, Facebook, Kik, and WeChat. This can also be integrated with a custom web or mobile interface.

It is easier, of course, to integrate within an existing messaging platform, since the user is likely to be familiar with the interface. Moreover, these platforms provide support to the chatbot developers with infrastructure and development tools.

Some examples of chatbots include systems for ordering products, reporting, internal communication, and scheduling.