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
}
]
}