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Natural Language Processing with AWS AI Services

You're reading from   Natural Language Processing with AWS AI Services Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781801812535
Length 508 pages
Edition 1st Edition
Languages
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Authors (2):
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Mona M Mona M
Author Profile Icon Mona M
Mona M
Premkumar Rangarajan Premkumar Rangarajan
Author Profile Icon Premkumar Rangarajan
Premkumar Rangarajan
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1:Introduction to AWS AI NLP Services
2. Chapter 1: NLP in the Business Context and Introduction to AWS AI Services FREE CHAPTER 3. Chapter 2: Introducing Amazon Textract 4. Chapter 3: Introducing Amazon Comprehend 5. Section 2: Using NLP to Accelerate Business Outcomes
6. Chapter 4: Automating Document Processing Workflows 7. Chapter 5: Creating NLP Search 8. Chapter 6: Using NLP to Improve Customer Service Efficiency 9. Chapter 7: Understanding the Voice of Your Customer Analytics 10. Chapter 8: Leveraging NLP to Monetize Your Media Content 11. Chapter 9: Extracting Metadata from Financial Documents 12. Chapter 10: Reducing Localization Costs with Machine Translation 13. Chapter 11: Using Chatbots for Querying Documents 14. Chapter 12: AI and NLP in Healthcare 15. Section 3: Improving NLP Models in Production
16. Chapter 13: Improving the Accuracy of Document Processing Workflows 17. Chapter 14: Auditing Named Entity Recognition Workflows 18. Chapter 15: Classifying Documents and Setting up Human in the Loop for Active Learning 19. Chapter 16: Improving the Accuracy of PDF Batch Processing 20. Chapter 17: Visualizing Insights from Handwritten Content 21. Chapter 18: Building Secure, Reliable, and Efficient NLP Solutions 22. Other Books You May Enjoy

Creating an Amazon Kendra index with Amazon S3 as a data source

In this section, we will first create an Amazon Kendra index and add the S3 bucket to which we uploaded our sample research documents in the previous section, as an Amazon S3 data source.

Note

Before you continue, please ensure you have executed the steps in the Technical requirements section and the pre-requisites mentioned in the Introducing the chatbot use case section.

Please execute the following steps to create your Amazon Kendra index:

  1. If not already done, log in to your AWS Management Console as per the instructions in the Technical requirements section in Chapter 2, Introducing Amazon Textract.
  2. Type kendra in the Services search bar in the top center of the page and select Amazon Kendra from the list. When the Amazon Kendra console opens up, click Create an Index, as shown here:
    Figure 11.1 – Creating an Amazon Kendra index

    Figure 11.1 – Creating an Amazon Kendra index

  3. In the Specify index details page, type a name for your...
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