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I think Sagemaker seq2seq could provide such a service:
- If their target is one single label (primary quadrant), they can experiment training seq2seq to predict primary quadrant based on input text sequence
- If their target is a sequence (score in each quadrant) they could experiment training seq2seq to predict quadrant scores sequence (eg 8/10 creative, 10/10 emotional, etc)
Also, on the security aspect note that non-public free-form text from individuals and emails are usually regarded as very sensitive data; depending on applicable compliance framework and internal customer policies this may impact technical choices.
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