In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Google Cloud Natural Language and Google Cloud Storage workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
With Google Cloud Natural Language you may do sentiment and syntactic analysis, extract entities from text, categorize text and more using the Cloud Natural Language API and unique machine learning models.
Google Cloud Natural Language node docs + examples
Google Cloud Natural Language credential docs
See Google Cloud Natural Language integrations
Data can be stored and accessed on the Google Cloud Platform infrastructure using Google Cloud Storage, a RESTful online file storage web service. The service combines cutting-edge security and sharing features with the performance and scalability of Google's cloud.
Google Cloud Storage node docs + examples
Google Cloud Storage credential docs
See Google Cloud Storage integrations
Can Google Cloud Natural Language connect with Google Cloud Storage?
Can I use Google Cloud Natural Language’s API with n8n?
Can I use Google Cloud Storage’s API with n8n?
Is n8n secure for integrating Google Cloud Natural Language and Google Cloud Storage?
How to get started with Google Cloud Natural Language and Google Cloud Storage integration in n8n.io?
Looking to integrate Google Cloud Natural Language and Google Cloud Storage in your company?
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