Before you begin

Before you can use AutoML Natural Language Entity Extraction, you must enable it for your project.

Set up your project

  1. Sign in to your Google Account.

    If you don't already have one, sign up for a new account.

  2. In the GCP Console, on the project selector page, select or create a GCP project.

    Go to the project selector page

  3. Make sure that billing is enabled for your Google Cloud Platform project. Learn how to enable billing.

  4. Enable the Cloud AutoML and Storage APIs.

    Enable the APIs

  5. Install the gcloud command line tool.
  6. Follow the instructions to create a service account and download a key file for that account.
  7. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path to the service account key file that you downloaded when you created the service account.
    export GOOGLE_APPLICATION_CREDENTIALS=key-file
  8. Set the PROJECT_ID environment variable to your Project ID.
    export PROJECT_ID=your-project-id
    The AutoML API calls and resource names include your Project ID in them. The PROJECT_ID environment variable provides a convenient way to specify the ID.
  9. Add yourself and your service account to the AutoML Editor IAM role.
    1. Replace your-userid@your-domain with your user account.
    2. Replace service-account-name with the name of your new service account, for example service-account1@myproject.iam.gserviceaccount.com.
    gcloud auth login
    gcloud projects add-iam-policy-binding $PROJECT_ID \
       --member="user:your-userid@your-domain" \
       --role="roles/automl.admin"
    gcloud projects add-iam-policy-binding $PROJECT_ID \
       --member="serviceAccount:service-account-name" \
       --role="roles/automl.editor"
    

Create a Cloud Storage bucket

Create a Google Cloud Storage bucket to store the documents that you will use to train your custom model. The bucket name must be in the format: project-id-lcm. The following command creates a storage bucket in the us-central1 region named project-id-lcm.

gsutil mb -p project-id -c regional -l us-central1 gs://project-id-lcm/
We recommend the following file structure for your Cloud Storage files: gs://project-id/dataset-name/documents/document-name.txt

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AutoML Natural Language Entity Extraction