MonkeyLearn
Create your customized scenario with Integromat. Automate repetitive tasks involved in using MonkeyLearn and make your work easier.
Try Integromat for FREENo credit card. You'll love it.
Create your customized scenario with Integromat. Automate repetitive tasks involved in using MonkeyLearn and make your work easier.
Try Integromat for FREEIntegromat will automate processes that you currently handle manually. It is not only capable of connecting apps but can also transfer and transform data. It works 24 hours a day, seven days a week and does not require your intervention. Simply set Integromat to do what you want and let it work for you. Save your time!
Every time a new record is added to your Airtable base, Integromat will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example base.
This template shows how you can take advantage of Integromat to train your MonkeyLearn model easily. Every time a new row is added to your Google Sheets spreadsheet, Integromat will automatically upload the data to your MonkeyLearn classifier. The template uses this example spreadsheet.
Every time a new ticket is created in Zendesk, Integromat will automatically analyze its sentiment (positive, negative or neutral) with a MonkeyLearn machine learning model. Then, the ticket is reassigned to a dedicated agent.
Every time a new customer review is added to your Google Sheets spreadsheet, Integromat will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example spreadsheet.
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.
Every time a new review is added to your Google My Business location, Integromat 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.
Every time a new Dialogflow fulfillment webhook is triggered, Integromat will automatically classify the query text by sentiment (positive, negative or neutral) with a MonkeyLearn Machine Learning model. Then, a specific fulfillment response is sent depending on the sentiment.
Classifies the text with a given classifier.
Creates a new classifier.
Deletes a classifier.
Extracts information from the text with a given extractor.
Returns information about a classifier including its settings, stats, and tags.
Returns information about an extractor.
Performs an arbitrary authorized API call.
Updates a classifier name, description, and settings.
Uploads data to a classifier.
Returns all the available classifiers for the user.
Returns all the available extractors for the user.