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Connect Google Natural Language integrations

Interpret unstructured text using Google Natural Language to instantly reveal customer sentiments and label document entities. Linking this engine to our workflow automation tool lets you automatically classify incoming emails, moderate chats, and route sentiment scores directly to your database. Sign up on Make today to activate your first cognitive parsing sequence.

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Build your Google Natural Language integrations.

Scale your business automation by using Make to connect your tools. Build powerful workflows with Google Natural Language to sync data instantly; try Make now to integrate Google Natural Language.

Google Natural Language
Analyze Entities

Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.

Action
Google Natural Language
Analyze Entity Sentiment

Searches entities in the text and analyzes sentiment associated with each entity and its mentions.

Action
Google Natural Language
Analyze Sentiment

Analyzes the sentiment of the provided text.

Action
Google Natural Language
Analyze Syntax

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Action
Google Natural Language
Classify a Document

Classifies a document into categories.

Action
Google Natural Language
Make an API Call

Performs an arbitrary authorized API call.

Action

Connect any app with Google Natural Language

Popular Google Natural Language workflows.

Automate Google Natural Language. Analyze text, sync sentiment data, and simplify your workflows.

Automate text analysis by integrating Google Natural Language with Make

Integrate Google Natural Language with Make to automate sentiment analysis and content categorization. Automatically monitor social media, organize files, and send key insights directly to your database.

Automate sentiment and text analysis

Automatically analyze the tone and meaning of incoming text from RSS feeds, emails, or social media without manual effort.

Real-time social media monitoring

Instantly track customer sentiment by automatically analyzing new social media mentions the moment they happen.

Streamline data storage and reporting

Send your text analysis results directly to Google Sheets, CSV files, or databases like Firestore for hassle-free tracking.

Effortless content classification

Automatically categorize bulk articles and documents to keep your content library organized without manual sorting.

FAQ

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.

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