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 an NLP Service?

Amazon Comprehend is an NLP service. The overall goal of an NLP service is to make machines understand our spoken and written language. Virtual assistants, such as Alexa or Siri, use NLP to produce insights from input data. The input data is structured by a language, which has a unique grammar, syntax, and vocabulary. Thus, processing text data requires identifying the language first and applying subsequent rules to identify the document's information. NLP's general task is to capture this information as a numeral representation. This general task is split into specific tasks, such as identifying languages, entities, key phrases, emotional sentiments, and topics.

Figure 2.4: Amazon Comprehend data flow

As we discussed earlier, Amazon Comprehend uses pre-trained models to perform document analysis tasks. This is very good because it enables a business to develop capabilities without going through an exhaustive AI model training...