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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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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

Summary

In this chapter, we covered how you can set up a text analytics solution with your existing social media analytics workflow. We gave a specific example of using the Yelp reviews dataset and using serverless ETL with NLP using Amazon Comprehend to set up a quick visual dashboard using Amazon QuickSight. We also covered ad hoc SQL analytics using Amazon Athena to understand the voice or sentiment of the majority of your users using some easy SQL queries. This solution can be implemented with any social media integration, such as Twitter, Reddit, and Facebook, in batch or real-time mode.

In the case of a real-time setup, you would integrate Kinesis Data Firehose to have near real-time streaming tweets or social media feeds in this proposed workflow or architecture. Check out the Further reading section for a really cool AI-driven social media dashboard to implement this architecture at scale.

Another approach you can take in terms of document automation is to have Amazon...

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