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You may review this blog https://aws.amazon.com/blogs/machine-learning/build-a-custom-entity-recognizer-for-pdf-documents-using-amazon-comprehend/ . It has a detailed example now how to build customer recognizer for PDF documents on Amazon Comprehend.
To create the annotation for the PDF documents, it does it Amazon Ground Truth.
Hope this helps!
Hello - if you are being signed out of the AWS console, you may need to set a longer IAM session duration, e.g. to 12 hours.
If you are not being logged out of AWS console and your SageMaker notebook is still timing out, you may need to run your scripts using nohup command or use SageMaker training so training will continue even if you get disconnected from your Sagemaker notebook.
Hope this helps. Thank you!
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The Issue that I am facing is that when I run my own custom Machine Learning code on the Sagemaker Jupyter Notebook and leave the system ON when running the notebook, I am getting signed out of my console and the code cell execution is being stopped after running for about 8 hours. Could you tell me how can I leave the notebook to run for a long period of time without worrying about being active on the laptop all the time? Thank you.