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Google Cloud Natural Language and Mattermost integration
n8n lets you integrate Google Cloud Natural Language with Mattermost to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from thousands of ready-made apps or use our universal HTTP connector to sync apps not yet in our library.
Integrate Google Cloud Natural Language and Mattermost
Build your own Google Cloud Natural Language and Mattermost integration
Create custom Google Cloud Natural Language and Mattermost 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.
How to connect Google Cloud Natural Language and Mattermost
Step 1: Add the first step
Step 2: Add Google Cloud Natural Language and Mattermost nodes
Step 3: Connect Google Cloud Natural Language and Mattermost
Step 4: Run workflow
Analyze feedback and send a message on Mattermost
This workflow analyzes the sentiments of the feedback provided by users and sends them to a Mattermost channel.
Typeform Trigger node: Whenever a user submits a response to the Typeform, the Typeform Trigger node will trigger the workflow. The node returns the response that the user has submitted in the form.
Google Cloud Natural Language node: This node analyses the sentiment of the response the user has provided and gives a score.
IF node: The IF node uses the score provided by the Google Cloud Natural Language node and checks if the score is negative (smaller than 0). If the score is negative we get the result as True, otherwise False.
Mattermost node: If the score is negative, the IF node returns true and the true branch of the IF node is executed. We connect the Mattermost node with the true branch of the IF node. Whenever the score of the sentiment analysis is negative, the node gets executed and a message is posted on a channel in Mattermost.
NoOp: This node here is optional, as the absence of this node won't make a difference to the functioning of the workflow.
This workflow can be used by Product Managers to analyze the feedback of the product. The workflow can also be used by HR to analyze employee feedback. You can even use this node for sentiment analysis of Tweets.
To perform a sentiment analysis of Tweets, replace the Typeform Trigger node with the Twitter node.
Note: You will need a Trigger node or Start node to start the workflow.
Instead of posting a message on Mattermost, you can save the results in a database or a Google Sheet, or Airtable. Replace the Mattermost node with (or add after the Mattermost node) the node of your choice to add the result to your database.
You can learn to build this workflow on the documentation page of the Google Cloud Natural Language node.
Nodes used in this workflow
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