MonkeyLearn Integrations
Do More With MonkeyLearn
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
- A new note is created in Evernote
- MonkeyLearn classifies the note based on the title and content
- Tag is added to the note based on MonkeyLearn classification
Apps involved
- Evernote
- MonkeyLearn
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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
- Get a new HARO requests from an RSS feed
- Zapier uses MonkeyLearn to classify HARO queries into AI & Machine Learning and Not Relevant
- The process will only continue if a HARO query is classified as AI & Machine Learning
- 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
- A new post is published
- MonkeyLearn classifies the post based on the content
- 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
- A new row is added to a Google Sheets spreadsheet
- MonkeyLearn classifies the text content of the row
- 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
- A new email is received in your Gmail account
- MonkeyLearn classifies the email based on the subject and body content
- 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:
Extracts data from text and does other transformations. Eg: find keywords, clean up emails, etc.
Classifies a text. Eg: topic, sentiment, etc.
Uploads training data to a classifier. It may or may not be tagged.
Use our free platform to build a single Zapier integration and instantly connect your app with 1,000+ others.
Become a Zapier Integration PartnerMonkeyLearn 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.
