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Integrate Monkey Learn with Airtable

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

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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 Airtable

Airtable is a powerful database, with a simple interface. Whether you're building a database to manage the team, to track a product launch, or to brainstorm new ideas for your business, Airtable is flexible enough to let you focus on the work.

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Best ways to Integrate Monkey Learn + Airtable

  • Monkey Learn Integration Monkey Learn Integration

    Airtable + Monkey Learn

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

    Airtable + Monkey Learn

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

    Airtable + Monkey Learn

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

    Airtable + Monkey Learn

    Classify Text in monkeylearn when New Record In View is created in Airtable Read More...
    Close
    When this happens...
    Monkey Learn Integration New Record In View
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Airtable + Monkey Learn

    Extract Text in monkeylearn when New Record In View is created in Airtable Read More...
    Close
    When this happens...
    Monkey Learn Integration New Record In View
     
    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 + Airtable in easier way

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

    Triggers
  • New Record

    Triggers when a new record is available.

  • New Record In View

    Triggers when a new record is available.

    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.

  • Create Record

    Creates a new record with auto-populating fields.

  • Update Record

    Update the values of specific cells in an Airtable record.

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

How Monkey Learn & Airtable 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 Airtable 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 Airtable.

    (2 minutes)

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

Integration of Monkey Learn and Airtable

  • Monkey Learn?
  • MonkeyLearn is a machine learning and natural language processing platform that helps people analyze unstructured data. The platform helps with extracting information from text, images, and audio. It can be used for sentiment analysis, keyword extraction, topic identification, and many more workflow automation processes.

  • Airtable?
  • Airtable is a cplaborative spreadsheet top that integrates with other tops and services. It can connect to Google Sheets, Dropbox, Slack, Salesforce, and more. Airtable has a drag and drop interface and also includes a large cplection of templates and integrations for developers to extend the application.

  • Integration of Monkey Learn and Airtable
  • MonkeyLearn helps with extracting information from text. This helps with any sort of textual analysis such as sentiment analysis or keyword extraction. MonkeyLearn can also help automate tasks such as email classification and subject line analysis.

    To use MonkeyLearn as an API, one must first create an account on their website. Once logged in, there are three ways to integrate MonkeyLearn’s API. The first way is through the web app. Second is by using the Python library or third is by using the REST API. The first two options are great for developers looking to integrate MonkeyLearn into their own applications. The REST API was created specifically for testing purposes, but it is also available for developers who want to integrate the API into their own applications.

    The first step is to find the correct model that fits your needs. There are over 50 pre-built models that have been posted on the website that you can use. When you find the model you wish to use, simply click on it to see all of the different parameters. Once you have selected your parameters, the next step is to train the model by uploading some training data. You can either upload text or upload images of text. Once you have uploaded your data, you will then need to set some parameters. For example, if you are using content classification, you will need to set topics that are relevant to your business. After this, you will then need to select the country you are interested in targeting for your application. These are some of the standard settings that are required when using MonkeyLearn’s API. However, depending on which model you choose to use, there may be additional settings that will need to be specified before you run your model.

    Once you have completed all of your settings, you will need to click on create model to initiate the process of running your model. This process can take anywhere between five minutes up to an hour depending on how much data you are uploading and how big of a dataset you are working with. Once your model has finished processing, you will then be able to see your results in the dashboard section of your account page. From here, you will be able to view each of your models and any parameters that were used during training. This is where it gets interesting because depending on what model you use, this is where you will view your results. For example, if you choose to run a content classification model, your results will look like this:

    However, if you were running a sentiment analysis model, then your results will look like this (example shown below):

    The next step would be integrating it with Airtable. There are many ways to do this depending on how they want to accomplish this goal. One option would be using either Zapier or IFTTT to create a connection between MonkeyLearn and Airtable’s API. Another option would be using a script that uses curl commands to get the information from MonkeyLearn’s API and then inserts it into a table in Airtable. The last option would be creating a Lambda function that pulls all the data from MonkeyLearn’s API and then inserts it into a table in Airtable through AWS Lambda functions. All of these methods work well depending on the individual project at hand and how much money they would like to invest in their project. If no budget is available or if there isn’t enough time in the project scope, then one should try using Zapier or IFTTT because they both have free plans that can be used indefinitely without any limitations on data usage.

  • Benefits of Integration of Monkey Learn and Airtable
  • Overall, combining these two powerful tops together gives users a lot more capabilities than each top individually can provide on its own because they both have their respective strengths and weaknesses. For example, while Airtable might not be able to analyze images or classify emails very well on its own because it’s database structure is completely different from other database systems such as MySQL or SQL Server but it can easily integrate with other services such as AWS Lambda or Google Cloud Functions; whereas MonkeyLearn can work well with large amounts of textual data such as emails or social media posts but it may not be able to provide analytics for images or videos stored in JSON objects stored within MongoDB databases; thus creating a cplaboration between them makes each top enhance the other one’s functionality and make it much more powerful than we could ever conceive alone.

    The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.