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Integrate Monkey Learn with Azure DevOps

Appy Pie Connect allows you to automate multiple workflows between Monkey Learn and Azure DevOps

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Monkey Learn Integrations
About Monkey Learn

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.

About Azure DevOps

Azure DevOps is a Software as a service (SaaS) platform from Microsoft that brings development (Dev) and operations (Ops) teams together for deploying efficient applications while minimizing the development life cycle. It comes with a range of features that removes the technical and bureaucratic hurdles that cause delays in the deployment of software.

Azure DevOps Integrations

Best ways to Integrate Monkey Learn + Azure DevOps

  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Classify Text in monkeylearn when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Attachment
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Extract Text in monkeylearn when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Attachment
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Upload training Data in monkeylearn when New Attachment is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Attachment
     
    Then do this...
    Monkey Learn Integration Upload training Data
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Classify Text in monkeylearn when New Labeled Email is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Labeled Email
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Gmail + Monkey Learn

    Extract Text in monkeylearn when New Labeled Email is created in Gmail Read More...
    Close
    When this happens...
    Monkey Learn Integration New Labeled Email
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration {{item.actionAppName}} Integration

    Monkey Learn + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Monkey Learn + Azure DevOps in easier way

It's easy to connect Monkey Learn + Azure DevOps without coding knowledge. Start creating your own business flow.

    Triggers
    Actions
  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

  • Add Link to Work Item

    Add a link to a work item.

  • Create Work Item

    Create a new work item.

  • Trigger Build

    Queues a new build.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Monkey Learn & Azure DevOps Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Azure DevOps as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Monkey Learn to Azure DevOps.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Suggested Integrations