The Applied AI and Natural Language Processing Workshop

封面

版权信息

Preface

1. An Introduction to AWS

Introduction

How Is AWS Special?

What Is Amazon S3?

Core S3 Concepts

Data Replication

The AWS CLI

CLI Usage

Recursion and Parameters

Using the AWS Console to Identify ML Services

Summary

2. Analyzing Documents and Text with Natural Language Processing

Introduction

Serverless Computing

Amazon Comprehend

What Is an NLP Service?

Using Amazon Comprehend to Inspect Text and Determine the Primary Language

Extracting Information from a Set of Documents

Setting Up a Lambda Function and Analyzing Imported Text Using Comprehend

Amazon Textract

Summary

3. Topic Modeling and Theme Extraction

Introduction

Topic Modeling with Latent Dirichlet Allocation (LDA)

Amazon Comprehend—Topic Modeling Guidelines

Summary

4. Conversational Artificial Intelligence

Introduction to Conversational AI

What Is a Chatbot?

What Is Natural Language Understanding?

Best Practices for Designing Conversational AI

Creating a Custom Chatbot

A Bot That Recognizes an Intent and Filling a Slot

Lambda Function – Implementing Business Logic

Summary

5. Using Speech with the Chatbot

Amazon Connect Basics

Interacting with the Chatbot

Talking to Your Chatbot through a Call Center Using Amazon Connect

Using Amazon Lex Chatbots with Amazon Connect

Summary

6. Computer Vision and Image Processing

Introduction

Amazon Rekognition Basics

Rekognition and Deep Learning

Image Moderation

Facial Analysis

Celebrity Recognition

Face Comparison

Text in Images

Summary

Appendix

1. An Introduction to AWS

2. Analyzing Documents and Text with Natural Language Processing

3. Topic Modeling and Theme Extraction

5. Using Speech with the Chatbot