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 learned about analyzing Topic Modeling results from AWS Comprehend. You are now able to incorporate S3 to store data and use it to perform analysis. Also, we learned how to analyze documents where we know the topics before performing Topic Modeling, as well as documents where the topic is unknown. We know that the latter requires additional analysis to determine the relevant topics.

We did not build the downstream systems that analyze the topic lists and then route the document appropriately. For example, you might have a mapping of the topics to a SharePoint folder for knowledge management or a workflow to route the files via email to appropriate persons depending on the topics detected. While the broader topic of Robotic Process Automation (RPA) is beyond the scope of this book, you have learned how to use Amazon Comprehend to implement the Topic and Theme detection steps for process automation.

Another application of what you learned in this chapter...