docs-archive/apache-airflow-providers-google/8.0.0/_sources/_api/airflow/providers/google/cloud/example_dags/example_natural_language/index.rst.txt

:py:mod:`airflow.providers.google.cloud.example_dags.example_natural_language`
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.. py:module:: airflow.providers.google.cloud.example_dags.example_natural_language

.. autoapi-nested-parse::

   Example Airflow DAG for Google Cloud Natural Language service



Module Contents
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.. py:data:: TEXT
   :annotation: = Multiline-String

    .. raw:: html

        <details><summary>Show Value</summary>

    .. code-block:: text
        :linenos:

        Airflow is a platform to programmatically author, schedule and monitor workflows.

        Use Airflow to author workflows as Directed Acyclic Graphs (DAGs) of tasks. The Airflow scheduler executes
         your tasks on an array of workers while following the specified dependencies. Rich command line utilities
         make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize
         pipelines running in production, monitor progress, and troubleshoot issues when needed.


    .. raw:: html

        </details>

   

.. py:data:: document
   

   

.. py:data:: GCS_CONTENT_URI
   :annotation: = gs://INVALID BUCKET NAME/sentiment-me.txt

   

.. py:data:: document_gcs
   

   

.. py:data:: analyze_entities