Whether you are using a public or custom module, MonkeyLearn is only going to show benefits when you bring it into your day to day process. We offer a number of ways for that to happen, both manually and automatically, but here we will focus on the automatic ways to have your text analyzed.

Take a look at your API

Please see our API reference and docs on integrating modules, which show ways to integrate MonkeyLearn API with some of the most popular programming languages (Python, Ruby, Java, PHP, Javascript and .Net).

Other ways to process automatically

  • Zapier - One of our team's favorite ways to use MonkeyLearn on a daily basis, and for a number of different use cases, and without coding. Zapier makes it easy to build out multi step processes in a visual way and to have MonkeyLearn modules enter at necessary points where text analysis will help determine the result of a workflow. For a series of example "Zaps", please see the MonkeyLearn page on Zapier.
  • RapidMiner - a tool that makes data science teams more productive. With this integration you can easily use MonkeyLearn as part of your RapidMiner pipeline. 
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