Google Natural Language Make integrationAutomate Google Natural Language with Make.
What if every review, ticket or email got read and sorted before anyone opened it? The Google Natural Language Make integration gives you 6 action modules that analyze text. This guide is for ops and support teams, and it walks you from the connection to a working first scenario.
Verified Trustpilot reviews · AI, automation & growth agency
What does the Google Natural Language Make integration do?
It lets Make send a piece of text to Google's language API and get back what the text is about, how it feels and how it is built. You build a scenario, the automation Make runs for you, and each module (one brick of that scenario) handles one kind of analysis. No code: you pick the text, Make returns the result.
Support tickets ranked by mood. A form or helpdesk app passes each new message, Analyze Sentiment reads its tone, and the angry ones go to the top of the queue instead of waiting their turn.
Content sorted by topic. Blog drafts or incoming articles go through Classify a Document, which places each one in a category, so a content team can file it without reading it first.
Brand mentions with an opinion attached. Analyze Entity Sentiment finds the people, products and places named in a review and tells you how the writer feels about each one, which helps when a single review praises the delivery and criticizes the product.
What Make does not do here: this app has no trigger, so Google Natural Language never starts a scenario on its own. The text always comes from another app or from a schedule. The doc for this app is also flagged as AI-generated, so check the Google documentation before relying on a detail. The same kind of text analysis can be built in n8n too; the n8n vs Make comparison lays out both tools side by side. To learn the editor first, see the Make training, or check Make pricing before you plan volume.
How do you connect Google Natural Language to Make?
- 01
Prepare Google Cloud
You need an active Google Cloud account with the Cloud Natural Language API turned on. In the console, open APIs and Services, then Credentials, click Create Credentials and pick OAuth client ID.
- 02
Copy your client keys
If Google asks for a callback URI, paste
https://www.integromat.com/oauth/cb/google-natural-language. Google then shows a Client ID and a Client secret: copy both and keep the tab open. - 03
Create the connection in Make
Add any Google Natural Language module to your scenario and click Create a connection. The connection is your Google account linked to Make once, reused by every module of the app. Name it in Connection name if you like, then paste the keys.
Your first scenario with Google Natural Language
GoalWhen a new message lands in another app, Make scores its tone with Google Natural Language and files it under a topic.
- 01
Create the scenario
On the Scenarios page, create a new scenario and click the +. Since Google Natural Language has no trigger, the first module comes from the app that holds your text, a form or an inbox for example.
- 02
Add Analyze Sentiment
Click the + to the right of that first module, search for Google Natural Language and pick Analyze Sentiment. Create the connection, then map the message text from the previous module into it.
- 03
Chain Classify a Document
Add Classify a Document after it and map the same text. Each bundle, one message passing from module to module, now leaves with a tone and a category attached.
- 04
Test with Run once
Click Run once. Make runs the scenario a single time and shows the bundles each module received, so you can read the analysis before anything else depends on it.
- 05
Schedule and switch on
Open the clock on the first module to set its schedule, every 15 minutes by default, then switch the scenario on. Each module run on a bundle counts as one operation on your plan.
What can Google Natural Language do in Make?
Google Natural Language gives you 6 modules. For each one: what it does for you, when to reach for it, and what to watch out for.
Analyze Entities
ActionIn Make“Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.”
Pulls out the named things in a text, such as people, companies, places or products, and says what type each one is, how central it is to the text and where it gets mentioned.
Analyze Entity Sentiment
ActionIn Make“Searches entities in the text and analyzes sentiment associated with each entity and its mentions.”
Gives you the feeling behind each named item rather than the whole text: the same review can be warm about the staff and cold about the price, and this module keeps the two apart.
Analyze Sentiment
ActionIn Make“Analyzes the sentiment of the provided text.”
Tells you how positive or negative a text reads as a whole, which is the fastest way to spot an unhappy customer among dozens of friendly ones.
Analyze Syntax
ActionIn Make“Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.”
Breaks a text down into sentences and words, labels each word with its part of speech and shows how the words depend on one another, the raw grammar behind the text.
Classify a Document
ActionIn Make“Classifies a document into categories.”
Places a text in a content category, so you know at a glance what a page or a request is about without reading it yourself.
Make an API Call
ActionIn Make“Performs an arbitrary authorized API call.”
Reaches any endpoint of the Google Natural Language API through the connection you already set up, which covers whatever the five dedicated modules leave out.
Need help automating Google Natural Language with Make?
A person reads every message.
