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The Applied AI and Natural Language Processing Workshop

You're reading from   The Applied AI and Natural Language Processing Workshop Explore practical ways to transform your simple projects into powerful intelligent applications

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800208742
Length 384 pages
Edition 1st Edition
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Authors (3):
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Ruze Richards Ruze Richards
Author Profile Icon Ruze Richards
Ruze Richards
Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
Jeffrey Jackovich Jeffrey Jackovich
Author Profile Icon Jeffrey Jackovich
Jeffrey Jackovich
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Toc

Table of Contents (8) Chapters Close

Preface
1. An Introduction to AWS 2. Analyzing Documents and Text with Natural Language Processing FREE CHAPTER 3. Topic Modeling and Theme Extraction 4. Conversational Artificial Intelligence 5. Using Speech with the Chatbot 6. Computer Vision and Image Processing Appendix

Lambda Function – Implementing Business Logic

You can create AWS Lambda functions that can be triggered from your Amazon Lex bot. As we discussed in Chapter 2, Analyzing Documents and Text with Natural Language Processing, serverless computing and Lambda functions are a good match for implementing the fulfillment and validation functions in your Lex bot. The Lambda functions integrate better and faster and scale better than returning the intent to a backend application for every step, such as validation. Once the intent has been validated and you are satisfied with the parameters, you can call a backend API to fulfill the request. You can implement simple fulfillment requests as Lambda functions, thereby making your bot responsive and scalable.

In the next exercise, you will learn how to implement the business logic behind the bot as a Lambda function in AWS and call a real-world REST API to get information that you can return to the user from an external service.

Exercise...

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