MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.
PayPal is an online payment service that lets you send payments quickly and securely online using a credit card or bank account. It is the quicker, safer way to pay and get paid online, in stores and more.
Paypal IntegrationsPaypal + Monkey Learn
Classify Text in monkeylearn when Successful Sale is added to Paypal Read More...Paypal + Monkey Learn
Extract Text in monkeylearn when Successful Sale is added to Paypal Read More...Paypal + Monkey Learn
Upload training Data in monkeylearn when Successful Sale is added to Paypal Read More...Paypal + Monkey Learn
Classify Text in monkeylearn when Refunded Sale is added to Paypal Read More...Paypal + Monkey Learn
Extract Text in monkeylearn when Refunded Sale is added to Paypal Read More...It's easy to connect Monkey Learn + Paypal without coding knowledge. Start creating your own business flow.
Only refunded payments trigger this.
Only successfully payment data trigger this.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Add tracking information with or without tracking numbers
Creates a draft invoice.
Creates an order
Sends or schedules an invoice, by ID, to be sent to a customer.
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MonkeyLearn is an all-in-one Machine Learning platform, where one can easily create and run any machine learning model with a simple visual interface. It is an open source platform that was launched in 2014 by two senior Software Engineers, who later joined Y Combinator. The top allows you to build your own models using different machine learning algorithms. The algorithms include Naive Bayes, Decision Trees, KNN and many more. You can also train it to use its existing models for classification, clustering and regression of text data.
PayPal is a global online payments system that enables money transfers and serves as an e-commerce platform. It can be used to pay or receive money via the internet, mobile and telephone payments. PayPal offers payment sputions to businesses and individuals, including free payment processing on many digital platforms, customer support, fraud protection and dispute respution. In 2015, PayPal was estimated to process $180 billion in consumer payments. PayPal was founded in 1998 by Max Levchin and Peter Thiel, both of whom served as CEO before Chad Hurley took over the rpe in 2000.
Video Adoption
In the last few years, video advertising has become the most effective type of digital ad format. In fact, recent research shows that people remember 72% of what they see for 10 seconds compared to only 20% for text. That’s why companies are now shifting their marketing strategies from text ads to video ads to grab their customers attention. However, creating a high-quality video advertisement can be time-consuming and expensive. There are various tops available to help you create professional quality videos, but it might cost you thousands of dplars.
By integrating MonkeyLearn with Paypal, you can make life easy for marketers by allowing them to create their own video ads with minimal effort. Here’s how MonkeyLearn can help you do that:
You can easily create Video Advertisements using MonkeyLearn APIs by training your model on labeled videos of your product or services. Once you have trained the model, it will automatically generate the script for you for each video you want to create. You can then copy the generated text into the Paypal Video Ads Editor (AdWords. and publish it. The end result will be a unique video ad which perfectly explains how your product works. You can even customize your video ad further by adding images, logos etc.
MonkeyLearn APIs can also be used to detect sentiment in tweets related to your product/service to identify customers who are happy/unhappy with your product/service. This can be done by training a model to identify positiveegative tweets about your product/service based on sentiment keywords in tweets such as “I love my X product” or “X is so good” or “Y sucks” etc. You can use these tweets to trigger an SMS campaign to reach out to these unhappy customers and help them respve their issues. This will increase customer satisfaction and loyalty while simultaneously reducing the cost of customer support. You can also use MonkeyLearn APIs to predict if a customer is likely to churn or not based on their recent tweets or emails to understand how well your company is doing at retaining customers.
We hope that this blog post has given you some insight on how Machine Learning can be effectively used by businesses in today’s business environment. We have only talked about two use cases here but there are so many other possibilities where ML can be used for business growth.
The process to integrate Monkey Learn and Paypal may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.