Guía de inicio rápido

En esta página, se muestra cómo comenzar a usar la API de Cloud Natural Language con el SDK de Google Cloud.

---

Para obtener una guía paso a paso sobre esta tarea directamente en Cloud Console, haz clic en Guiarme:

GUIARME

---

En las siguientes secciones, se explican los mismos pasos que cuando se hace clic en Guiarme.

Antes de comenzar

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

3. Make sure that billing is enabled for your Google Cloud project.

4. Enable the Cloud Natural Language API.

   Enable the API

5. Create a service account:

   1. In the Google Cloud console, go to the Create service account page.

      Go to Create service account
   2. Select your project.

   3. In the Service account name field, enter a name. The Google Cloud console fills in the Service account ID field based on this name.

      In the Service account description field, enter a description. For example, Service account for quickstart.

   4. Click Create and continue.

   5. Click Done to finish creating the service account.

      Do not close your browser window. You will use it in the next step.

6. Create a service account key:

   1. In the Google Cloud console, click the email address for the service account that you created.
   2. Click Keys.
   3. Click Add key, and then click Create new key.
   4. Click Create. A JSON key file is downloaded to your computer.
   5. Click Close.

7. Set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of the JSON file that contains your credentials. This variable applies only to your current shell session, so if you open a new session, set the variable again.

   Example: Linux or macOS

   export GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

   Replace KEY_PATH with the path of the JSON file that contains your credentials.

   For example:

   export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/service-account-file.json"

   Example: Windows

   For PowerShell:

   $env:GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

   Replace KEY_PATH with the path of the JSON file that contains your credentials.

   For example:

   $env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\service-account-file.json"

   For command prompt:

   set GOOGLE_APPLICATION_CREDENTIALS=KEY_PATH

   Replace KEY_PATH with the path of the JSON file that contains your credentials.

8. Install the Google Cloud CLI.

9. To initialize the gcloud CLI, run the following command:

   gcloud init

10. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

    Go to project selector

11. Make sure that billing is enabled for your Google Cloud project.

12. Enable the Cloud Natural Language API.

    Enable the API

13. Create a service account:

    1. In the Google Cloud console, go to the Create service account page.

       Go to Create service account
    2. Select your project.

    3. In the Service account name field, enter a name. The Google Cloud console fills in the Service account ID field based on this name.

       In the Service account description field, enter a description. For example, Service account for quickstart.

    4. Click Create and continue.

    5. Click Done to finish creating the service account.

       Do not close your browser window. You will use it in the next step.

14. Create a service account key:

    1. In the Google Cloud console, click the email address for the service account that you created.
    2. Click Keys.
    3. Click Add key, and then click Create new key.
    4. Click Create. A JSON key file is downloaded to your computer.
    5. Click Close.

15. Set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of the JSON file that contains your credentials. This variable applies only to your current shell session, so if you open a new session, set the variable again.

    Example: Linux or macOS

    export GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

    Replace KEY_PATH with the path of the JSON file that contains your credentials.

    For example:

    export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/service-account-file.json"

    Example: Windows

    For PowerShell:

    $env:GOOGLE_APPLICATION_CREDENTIALS="KEY_PATH"

    Replace KEY_PATH with the path of the JSON file that contains your credentials.

    For example:

    $env:GOOGLE_APPLICATION_CREDENTIALS="C:\Users\username\Downloads\service-account-file.json"

    For command prompt:

    set GOOGLE_APPLICATION_CREDENTIALS=KEY_PATH

    Replace KEY_PATH with the path of the JSON file that contains your credentials.

16. Install the Google Cloud CLI.

17. To initialize the gcloud CLI, run the following command:

    gcloud init

Realiza una solicitud de análisis de entidades

gcloud

Usa la herramienta de línea de comandos de gcloud para llamar al comando analyze-entities y también usa la marca --content para especificar el texto que se analizará.

gcloud ml language analyze-entities --content="Michelangelo Caravaggio, Italian painter, is known for 'The Calling of Saint Matthew'."

Línea de comandos

Usa curl para hacer una solicitud POST al método documents:analyzeEntities y proporciona el cuerpo de solicitud adecuado, como se muestra en el siguiente ejemplo.

En el ejemplo, se usa el comando gcloud auth application-default print-access-token a fin de obtener un token de acceso para la cuenta de servicio que creaste cuando configuraste el proyecto.

curl -X POST \
  -H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
  -H "Content-Type: application/json; charset=utf-8" \
 "https://language.googleapis.com/v1/documents:analyzeEntities" \
  --data "{
  'document':{
    'type':'PLAIN_TEXT',
    'content':'Michelangelo Caravaggio, Italian painter, is known for
              \'The Calling of Saint Matthew\'.'
  },
  'encodingType':'UTF8'
}"

Debería ver una respuesta similar a la siguiente:

{
  "entities": [
    {
      "name": "Michelangelo Caravaggio",
      "type": "PERSON",
      "metadata": {
        "wikipedia_url": "http://en.wikipedia.org/wiki/Caravaggio",
        "mid": "/m/020bg"
      },
      "salience": 0.83047235,
      "mentions": [
        {
          "text": {
            "content": "Michelangelo Caravaggio",
            "beginOffset": 0
          },
          "type": "PROPER"
        },
        {
          "text": {
            "content": "painter",
            "beginOffset": 33
          },
          "type": "COMMON"
        }
      ]
    },
    {
      "name": "Italian",
      "type": "LOCATION",
      "metadata": {
        "mid": "/m/03rjj",
        "wikipedia_url": "http://en.wikipedia.org/wiki/Italy"
      },
      "salience": 0.13870546,
      "mentions": [
        {
          "text": {
            "content": "Italian",
            "beginOffset": 25
          },
          "type": "PROPER"
        }
      ]
    },
    {
      "name": "The Calling of Saint Matthew",
      "type": "EVENT",
      "metadata": {
        "mid": "/m/085_p7",
        "wikipedia_url": "http://en.wikipedia.org/wiki/The_Calling_of_St_Matthew_(Caravaggio)"
      },
      "salience": 0.030822212,
      "mentions": [
        {
          "text": {
            "content": "The Calling of Saint Matthew",
            "beginOffset": 69
          },
          "type": "PROPER"
        }
      ]
    }
  ],
  "language": "en"
}

También puedes analizar la opinión del documento y extraer las anotaciones de sintaxis del texto realizando solicitudes a diferentes extremos de la API de Cloud Natural Language. Consulta Conceptos básicos de la API de Natural Language para obtener más detalles.

Limpia

Precaución: Borrar un proyecto tiene las siguientes consecuencias:

• Se borra todo en el proyecto. Si usaste un proyecto existente para las tareas de este documento, cuando lo borres, también se borrará cualquier otro trabajo que hayas realizado en el proyecto.
• Se pierden los ID personalizados de proyectos. Cuando creaste este proyecto, es posible que hayas creado un ID del proyecto personalizado que desees utilizar en el futuro. Para conservar las URL que utilizan el ID del proyecto, como una URL appspot.com, borra los recursos seleccionados dentro del proyecto en lugar de borrar todo el proyecto.

Si planeas explorar varias infraestructuras, instructivos y guías de inicio rápido la reutilización de proyectos puede ayudarte a evitar exceder los límites de las cuotas del proyecto.

1. In the Google Cloud console, go to the Manage resources page.

   Go to Manage resources

2. In the project list, select the project that you want to delete, and then click Delete.
3. In the dialog, type the project ID, and then click Shut down to delete the project.

¿Qué sigue?

• Comienza a usar la API de Natural Language en el idioma de tu elección con una biblioteca cliente de Cloud Natural Language.

• Consulta los Conceptos básicos de Natural Language para obtener información conceptual sobre la formación de solicitudes a la API de Natural Language y manejar respuestas.

• Prueba el instructivo de análisis de opiniones y explora las aplicaciones de ejemplo.