Chapter 5: Creating NLP Search
In the previous chapters, you were introduced to Amazon Textract for extracting text from documents, and Amazon Comprehend to extract insights with no prior Machine Learning (ML) experience as a prerequisite. In the last chapter, we showed you how you can combine these features together to solve a real-world use case for document automation by giving an example of loan processing.
In this chapter, we will use the Amazon Textract and Amazon Comprehend services to show you how you can quickly set up an intelligent search solution with the integration of powerful elements, such as Amazon Elasticsearch, which is a managed service to set up search and log analytics, and Amazon Kendra, which is an intelligent managed ...
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