MonkeyLearn Integrations

  • Add tags to new Evernote notes with MonkeyLearn classification

    Do you take tons of notes but it's a little hard to keep organized? Some machine learning magic could help. With this integration, every time a new Evernote note is created, MonkeyLearn classifies it based on the title and text content. Tags are automatically added to the note based on MonkeyLearn classification.

    How this Evernote-MonkeyLearn integration works

    1. A new note is created in Evernote
    2. MonkeyLearn classifies the note based on the title and content
    3. Tag is added to the note based on MonkeyLearn classification

    Apps involved

    • Evernote
    • MonkeyLearn
  • +2

    Analyze HARO requests with MonkeyLearn and get notifications for relevant ones via Slack

    Have you ever wanted to get your company featured in TIME Magazine, Reuters or Mashable? It could happen through Help a Reporter Out (HARO) and get this media coverage for free by answering Help A Reporter Out requests.

    But why spend time screening HARO requests if machine learning can do the heavy lifting for you?

    This integration uses MonkeyLearn + Zapier + Slack to build a personalized notification system for HARO.

    How it works

    1. Get a new HARO requests from an RSS feed
    2. Zapier uses MonkeyLearn to classify HARO queries into AI & Machine Learning and Not Relevant
    3. The process will only continue if a HARO query is classified as AI & Machine Learning
    4. Zapier sends a private message via Slack notifying you about the AI & Machine Learning HARO query

    Apps involved

    • RSS by Zapier
    • MonkeyLearn
    • Filter by Zapier
    • Slack
  • Classify new RSS posts with MonkeyLearn and add them to Google Sheets

    Want to store blog posts of a particular topic in a Google Sheet? With this integration, every time a new post is created, the RSS feed will capture it and send it to MonkeyLearn to be classified. The result will be added to a Google Sheet spreadsheet.

    How it works

    1. A new post is published
    2. MonkeyLearn classifies the post based on the content
    3. The post and classification are added to a Google Sheet spreadsheet

    Apps involved

    • RSS by Zapier
    • MonkeyLearn
    • Google Sheets
  • Analyze new rows in Google Sheets with MonkeyLearn

    Wouldn't it be great if you could structure text content in your Google Sheets spreadsheet? With this integration, every time you add a new row to your spreadsheet, MonkeyLearn will analyze the content and fill structured columns with a sentiment, topic or any particular classification.

    How this Google Sheets-MonkeyLearn integration works

    1. A new row is added to a Google Sheets spreadsheet
    2. MonkeyLearn classifies the text content of the row
    3. Columns in the sheet are updated with the MonkeyLearn classification

    Apps involved

    • Google Sheets
    • MonkeyLearn
  • Label new Gmail emails based on MonkeyLearn classification

    Tired of manually labeling your emails in Gmail? Add artificial Intelligence to your workflow with MonkeyLearn. Every time a new email is received, MonkeyLearn will classify it based on the subject and body. New emails will be automatically labeled based on MonkeyLearn analysis.

    How it works

    1. A new email is received in your Gmail account
    2. MonkeyLearn classifies the email based on the subject and body content
    3. The email is labeled based on MonkeyLearn's classification

    What you need

    • Gmail
    • MonkeyLearn

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MonkeyLearn Integration Details

Launched on Zapier November 12, 2016 · 67 active users

Zapier combines Triggers (like "New Subscriber") and Actions (like "Extract Text") to complete an action in one app when a trigger occurs in another app. These combos—called "Zaps"—complete your tasks automatically.

The following MonkeyLearn Triggers, Searches, and Actions are supported by Zapier:

Extract Text

Extracts data from text and does other transformations. Eg: find keywords, clean up emails, etc.

Classify Text

Classifies a text. Eg: topic, sentiment, etc.

Upload Training Data

Uploads training data to a classifier. It may or may not be tagged.

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MonkeyLearn is an AI platform that allows you to classify and extract actionable data from raw texts like emails, chats, webpages, documents, tweets and more! You can classify texts with custom categories or tags like sentiment or topic, and extract any particular data like organizations or keywords.