Labeling PII entities

When you run PII detection, Amazon Comprehend returns the labels of identified PII entity types. For example, if you submit the following input text to Amazon Comprehend:

Hello Paulo Santos. The latest statement for your credit card account 1111-0000-1111-0000 was mailed to 123 Any Street, Seattle, WA 98109.

The output includes labels that represent PII entity types along with a confidence score of the accuracy. In this case, the document text "Paul Santos", "1111-0000-1111-0000" and "123 Any Street, Seattle, WA 98109" generate the labels NAME, CREDIT_DEBIT_NUMBER, and ADDRESS respectively as PII entity types. For more information about supported entity types, see PII universal entity types.

Amazon Comprehend provides the following information for each label:

• The label name of the PII entity type.

• A score that estimates the probability that the detected text is labeled as a PII entity type.

The input text example above results in the following JSON output.

{
    "Labels": [
        {
            "Name": "NAME",
            "Score": 0.9149109721183777
        },
        {
            "Name": "CREDIT_DEBIT_NUMBER",
            "Score": 0.5698626637458801
        }
         {
            "Name": "ADDRESS",
            "Score": 0.9951046109199524
        }
    ]
}