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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

Text in Images

In the previous chapters, you learned how to extract text from scanned documents such as tax returns and company statements. Amazon Rekognition can detect and extract text from images as well—for example, street signs, posters, product names, and license plates. Of course, this feature is made to work with real-world images instead of document images. The Text in image link, which is accessible from the left toolbar, is where this capability resides in Amazon Rekognition.

For each image provided, the service returns a text label and bounding box, along with a confidence score. This can be extremely useful for searching text across a collection of images. Each image can be tagged with the corresponding text metadata based on the results from this and other capabilities of the service.

For now, the only texts that are supported are Latin scripts and numbers (Western script). Up to 50 sequences of characters can be recognized per image. The text must be horizontal...

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