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

Summary

In this chapter, we started with high-level concepts around Amazon AI services and serverless computing. On a conceptual level, you learned about serverless computing as well as the various AI services available on the AWS platform.

Overall, the culmination of these independent functions provides the foundation for building complex machine learning-based NLP applications (for example, Siri, Alexa, and so on). Knowing how and why the individual functions operate will allow you to build your own AWS-based NLP applications.

Then, we dived into the details of Amazon Comprehend—how Comprehend's DetectDominantLanguage method is structured, and how to pass in both strings and a list of strings. You learned how to extract entities, sentiments, key phrases, and topics, which provide the data for complex NLP. This allows Amazon Comprehend to become more efficient by automating text analysis upon a text document that's been uploaded to S3.

You also learned how...