Using Comprehend custom classification with human in the loop for active learning

Amazon Comprehend provides the capability to classify the data using Amazon Comprehend AutoML and bring your own custom training dataset. You can easily accomplish a lot with the Amazon Comprehend custom classification feature as it requires fewer documents to train Comprehend AutoML models. You are spending less time labeling the dataset and then worrying about setting up infrastructure or choosing the right algorithm.

You can use Amazon Comprehend custom classification for a variety of use cases, such as classifying documents based on type, classifying news articles, or classifying movies based on type.

The fictitious company LiveRight pvt ltd wants to classify the documents submitted by the customers, such as whether the document submitted is an ID or a bank statement, even before analyzing the data inside the document. Moreover, if you are using a classification model to classify the documents...