Connect MonkeyLearn integrations
Dissect customer support tickets, emails, and surveys by automating MonkeyLearn to extract keywords and analyze sentiment. Connecting this text analysis platform to our workflow automation tool lets you instantly route categorized feedback to your team or flag urgent complaints. Sign up for free today to build your first machine learning pipeline.
MonkeyLearn
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MonkeyLearn
Popular MonkeyLearn workflows
Automate your MonkeyLearn tasks with Make. Connect your favorite tools to analyze text data and simplify your daily workflows.
Scrap prices from any page with HTML/CSS, Cloud Vision and MonkeyLearn
This template helps you perform data mining on on a website at regular intervals. First, a screenshot of the url is taken via HTML/CSS. Then, the screenshot's text is recognized with Google Cloud Vision (OCR) and the price is automatically extracted with a MonkeyLearn machine learning model. Eventually, the result is stored in Google Sheets.
Analyze Google My Business reviews with MonkeyLearn and save it in Google Sheets
Every time a new review is added to your Google My Business location, Make will automatically analyze its sentiment (positive, neutral or negative) with a MonkeyLearn machine learning model. Then, the data is stored in Google Sheets. The template uses this example spreadsheet.
Analyze Google Sheets data with MonkeyLearn sentiment analysis models
Every time a new customer review is added to your Google Sheets spreadsheet, Make will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example spreadsheet.
Unlock Powerful AI Text Analysis by Integrating MonkeyLearn and Make
Connect MonkeyLearn with Make to automate your workflows. Send data from Google Sheets, Airtable, and Google My Business for instant AI analysis and sentiment tracking without writing any code.
Automated Sentiment Tracking
Automatically analyze customer reviews from platforms like Google My Business and Airtable the moment they are submitted.
Hands-Free Data Extraction
Combine web scraping, text recognition, and AI analysis to automatically extract and track prices from websites.
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Effortless AI Model Training
Keep your machine learning models up to date by automatically sending new training data from Google Sheets to MonkeyLearn.
Centralized Feedback Insights
Instantly save analyzed sentiment scores and keywords directly into your spreadsheets for easier team reporting.
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FAQs
How do I get started with Make?
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.
What is a scenario?
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.
What is a module?
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.
What is mapping?
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.