Difference between custom classification and custom entity recognition in Amazon Comprehend

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What is the distinction between custom classification and custom entity recognition in Amazon Comprehend? I'm looking to understand how these two features differ and when to use each one effectively, also, the types of tasks they are suited for, and any practical examples that can highlight their contrasting use cases.

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I'm not familiar with it either, but as far as I read the document, it's the following recognition.

Custom classification
For example, given an article or text about sports, a function to determine which category it belongs to: soccer, baseball, or basketball.
One use case that comes to mind is when you want to classify documents by content.
https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification.html

Custom entity recognition
For example, when given an article or text about soccer, a function to detect specific information such as team names, player names, uniform numbers, etc.
One use case that comes to mind is that it can be used to extract important information from documents.
https://docs.aws.amazon.com/comprehend/latest/dg/how-document-classification.html

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