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**To create a custom entity recognizer** The following ``create-entity-recognizer`` example begins the training process for a custom entity recognizer model. This example uses a CSV file containing training documents, ``raw_text.csv``, and a CSV entity list, ``entity_list.csv`` to train the model. ``entity-list.csv`` contains the following columns: text and type. :: aws comprehend create-entity-recognizer \ --recognizer-name example-entity-recognizer --data-access-role-arn arn:aws:iam::111122223333:role/service-role/AmazonComprehendServiceRole-example-role \ --input-data-config "EntityTypes=[{Type=DEVICE}],Documents={S3Uri=s3://amzn-s3-demo-bucket/trainingdata/raw_text.csv},EntityList={S3Uri=s3://amzn-s3-demo-bucket/trainingdata/entity_list.csv}" --language-code en Output:: { "EntityRecognizerArn": "arn:aws:comprehend:us-west-2:111122223333:example-entity-recognizer/entityrecognizer1" } For more information, see `Custom entity recognition <https://docs.aws.amazon.com/comprehend/latest/dg/custom-entity-recognition.html>`__ in the *Amazon Comprehend Developer Guide*.