Connect Facebook and MonkeyLearn and Pushcut integrations

Connect Facebook and MonkeyLearn and Pushcut with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Facebook and MonkeyLearn and Pushcut to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.

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Popular Facebook and MonkeyLearn and Pushcut workflows.

Looking to get more out of Facebook and MonkeyLearn and Pushcut? With Make you can visually integrate Facebook and MonkeyLearn and Pushcut into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.

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.

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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.

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Train your MonkeyLearn machine learning model with a Google Sheets dataset

This template shows how you can take advantage of Make to train your MonkeyLearn model easily. Every time a new row is added to your Google Sheets spreadsheet, Make will automatically upload the data to your MonkeyLearn classifier. The template uses this example spreadsheet.

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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.

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Send a notification about a new email in Gmail by Pushcut

Watch Gmail account and if there is a new e-mail received, send a notification to Pushcut.

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Analyze Airtable data with MonkeyLearn machine learning models

Every time a new record is added to your Airtable base, Make will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example base.

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Send a notification with weather forecast with Pushcut

Get a weather forecast for a concrete city and send it in a notification with Pushcut.

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Call a webservice by a push from Pushcut

Use Pushcut mobile app to trigger a webservice in Make.

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Send a Pushcut notification with a new watched RSS feed item

Watch for an RSS feed and if there is a new item, send a notification to Pushcut.

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Build your Facebook and MonkeyLearn and Pushcut integrations.

Create custom Facebook and MonkeyLearn and Pushcut workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.

Action Executed

Triggers when an online action is executed.

Trigger, Instant, Acid

Classify Text

Classifies the text with a given classifier.

Action

Create a Classifier

Creates a new classifier.

Action

Delete a Classifier

Deletes a classifier.

Action

Extract Text

Extracts information from the text with a given extractor.

Action

Get a Classifier

Returns information about a classifier including its settings, stats, and tags.

Action

Get an Extractor

Returns information about an extractor.

Action

List Classifiers

Returns all the available classifiers for the user.

List Extractors

Returns all the available extractors for the user.

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