See the supported connectors for Application Integration.

Language - Annotate Text task

The Language - Annotate Text task lets you perform several natural language operations such as, sentiment analysis, entity analysis, and syntactic analysis on a given text using Cloud Natural Language.

For information on the supported Natural Language operations, see Supported Natural Language operations.

Before you begin

Ensure that you perform the following tasks in your Google Cloud project before configuring the Language - Annotate Text task:

  1. Enable the Cloud Natural Language API (language.googleapis.com).

    Enable the Cloud Natural Language API

  2. Create an authentication profile. Application Integration uses an authentication profile to connect to an authentication endpoint for the Language - Annotate Text task.

    For information about granting additional roles or permissions to a service account, see Granting, changing, and revoking access.

Configure the Language - Annotate Text task

  1. In the Google Cloud console, go to the Application Integration page.

    Go to Application Integration

  2. In the navigation menu, click Integrations.

    The Integrations page appears listing all the integrations available in the Google Cloud project.

  3. Select an existing integration or click Create integration to create a new one.

    If you are creating a new integration:

    1. Enter a name and description in the Create Integration pane.
    2. Select a region for the integration.
    3. Select a service account for the integration. You can change or update the service account details of an integration any time from the Integration summary pane in the integration toolbar.
    4. Click Create.

    This opens the integration in the integration editor.

  4. In the integration editor navigation bar, click Tasks to view the list of available tasks and connectors.
  5. Click and place the Language - Annotate Text element in the integration editor.
  6. Click the Language - Annotate Text element on the designer to view the Language - Annotate Text task configuration pane.
  7. Go to Authentication, and select an existing authentication profile that you want to use.

    Optional. If you have not created an authentication profile prior to configuring the task, Click + New authentication profile and follow the steps as mentioned in Create a new authentication profile.

  8. Go to Task Input, and configure the displayed inputs fields using the following Task input parameters table.

    Changes to the inputs fields are saved automatically.

Task input parameters

The following table describes the input parameters of the Language - Annotate Text task:

Property Data type Description
Region String Region where you want to run the annotate operation. For example, us-central1.
ProjectsId String Your Google Cloud project ID.
Request JSON See request JSON structure.

Task output

The Language - Annotate Text task returns the response output depending on the operations performed. Following is a sample output when syntactic analysis are performed: 

{
    "sentences": [
        ... Array of sentences with sentence information
    ],
    "tokens": [
        ... Array of tokens with token information
    ]
}

Supported Natural Language operations

The Language - Annotate Text task lets you perform the following Natural Language operations:

Sentiment Analysis
Use sentiment analysis to identify and determine the emotional attitue (positive, negative, or neutral) of a given text. To perform this operation, set the extractDocumentSentiment field of the request JSON to true.
Entity Analysis
Use entity analysis to inspect and retrieve entities such as proper nouns and common nouns and from a given text. To perform this operation, set the extractEntities field of the request JSON to true.
Syntactic Analysis
Use syntactic analysis to extract linguistic information from a given text. To perform this operation, set the extractSyntax field of the request JSON to true.

Error handling strategy

An error handling strategy for a task specifies the action to take if the task fails due to a temporary error. For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see Error handling strategies.

Quotas and limits

For information about quotas and limits, see Quotas and limits.

What's next