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

Product type Paperback

Published in Nov 2021

Publisher Packt

ISBN-13 9781801812535

Length 508 pages

Edition 1st Edition

Languages

Processing

Tools

Amazon Textract

Concepts

Mobile Application Development

Authors (2):

Mona M

Premkumar Rangarajan

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Table of Contents (23) Chapters

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

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Challenges of setting up a text analytics solution

One of the challenges most organizations face is getting business insights from unstructured data.

This data can be in various formats, such as chats, PDF documents, emails, tweets, and so on. Since this data does not have a structure, it's really challenging for the traditional data analytics tool to perform analytics on it. This is where Amazon Textract and Amazon Comprehend can help.

Amazon Textract can make this unstructured data structured by extracting text and then Amazon Comprehend can extract insights. Once we have the data in text, you can perform serverless Extract, Transform, Load (ETL) by using Amazon Glue and convert it into a structured format. Moreover, you can use Amazon Athena to perform serverless ad hoc SQL analytics on the unstructured text you just extracted and transformed using Glue ETL. Amazon Glue can also crawl your unstructured data or text extracted from Amazon Textract in Amazon S3 and store...

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

Table of Contents (23) Chapters

Challenges of setting up a text analytics solution

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Authors (2)