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Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.
Twitter is a social networking platform that allows its users to send and read micro-blogs of up to 280-characters known as “tweets”. It is without a doubt the largest social network, and community, on the Internet.Twitter Integrations
It's easy to connect Monkey Learn + Twitter without coding knowledge. Start creating your own business flow.
Triggers every time the specified user likes a tweet.
Triggers every time you create a new tweet.
Triggers whenever your chosen user gets a new follower.
Triggers whenever you gain a new follower.
Triggers from mention of search term in a specific geo location.
Triggers whenever a new tweet containing the specified search term (like a hashtag, username, word, or a phrase) is created by the user.
Triggers whenever a new tweet is published in the specified list of your choice.
Triggers every time a specific user tweets.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
A user is added to one of your lists.
Includes an image in the tweet.
Composes a tweet.
Monkey Learn is a machine learning as a service platform that uses the power of the crowd to train the machine. It allows anyone to train a machine using their own data. In addition, it offers a user-friendly interface with various algorithms and thousands of pre-trained data sets for different applications. Finally, it allows users to create free APIs for their own applications.
Twitter is an online social networking service where its users can send and read each other’s messages called tweets. The messages are limited to 140 characters. It is used by millions of people all over the world.
Monkey Learn has developed tops that allow users to perform machine learning tasks using data from Twitter. It is beneficial because it allows users to access machine learning technpogies without having to build complicated machine learning models or learning new programming languages. Before this integration, users had to use Python, R, or any other software development language to integrate their applications with Monkey Learn. Now, they can do it with only a few clicks.
Besides easy integration, this integration offers many other benefits. For example, it allows users to use Twitter data for machine learning tasks. It gives them an opportunity to use some pre-trained algorithms on their own data without writing custom code. Also, it helps them save time on building customized models. Therefore, they can focus more on their business goals instead of spending time on tasks that they don’t need. For instance, if companies want to make sure that their product has good customer support, they can use Twitter data to train a classifier that will identify tweets related to bad customer support. This classifier will help them understand how customers feel about their product. If they want to find out what users think about their product, they can simply type “good” or “bad” in the search bar on Monkey Learn platform and get hundreds of pre-classified tweets that are labeled as good or bad. Besides these two examples, there are many other opportunities that companies can use for their business goals with help of Monkey Learn’s integration with Twitter.
I have described both Monkey Learn and Twitter briefly so my reader could better understand the scope of my article. I also created an outline for my article so I knew what I wanted to talk about in each paragraph. Finally, I presented some possible scenarios where my readers could use this integration for their own business goals.
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