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Monkey Learn + Microsoft Excel Integrations

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

About Monkey Learn

Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.

About Microsoft Excel

Microsoft Excel is an application program for calculations and data management, which generates spreadsheets, and functions as a database. It makes it easier to organize, analyze and present data while helping to make informed business decisions based on the analysis.

Microsoft Excel Integrations
Microsoft Excel Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • Google Sheets Google Sheets
  • Smartsheet Smartsheet

Best Monkey Learn and Microsoft Excel Integrations

  • Monkey Learn Trello

    Microsoft Excel + Trello

    Create a new card in Trello on a new row in Excel Read More...
    When this happens...
    Monkey Learn New Row
     
    Then do this...
    Trello Create Card
    This integration also allows you to create cards in Trello from directly inside Excel and gives you the ability to include your attachments on that card. After setting this integration, Appy Pie Connect automatically creates a new card in Trello when a new row is added to your spreadsheet in Google Sheets. This way, you can track tasks easily in an organized manner.
    How It works
    • Whenever there is a new row in Microsoft Excel
    • Appy Pie Connect turns it into a Trello card automatically
    Apps Involved
    • Microsoft Excel
    • Trello
  • Monkey Learn Google Sheets

    Microsoft Excel + Google Sheets

    Update new Excel rows to Google Sheets Read More...
    When this happens...
    Monkey Learn New Row
     
    Then do this...
    Google Sheets Create Spreadsheet Row
    Can’t convert your Excel spreadsheet into a Google Sheet? Wish you could quickly add new Excel rows to Google Sheets? This Appy Pie Connect integration is for people who often need to convert Excel files into Google Sheets. . Set up this integration, and Appy Pie Connect will replicate the contents to any Google Sheet you want, guaranteeing that your data is available wherever you need it.
    How This Excel-Google Sheets Integration Works
    • A new row is added to an Excel spreadsheet
    • Appy Pie Connect automatically adds it as a new row on Google Sheets
    Apps Involved
    • Excel
    • Google Sheets
  • Monkey Learn Asana

    Microsoft Excel + Asana

    Create a task in Asana for every new Excel row Read More...
    When this happens...
    Monkey Learn New Row
     
    Then do this...
    Asana Create Task
    Never cut and paste data again. Appy Pie Connect makes every integration effortless, allowing users to create Asana tasks automatically for every new Excel row that connects with Appy Pie Connect. Once enabled, this Appy Pie Connect integration will monitor any Excel spreadsheet you specify, triggering a task in Asana with each new row you add, keeping you focused on getting things done.
    How This Excel-Asana Integration Works
    • A new row is added to an Excel spreadsheet
    • Appy Pie Connect automatically adds a task on Asana
    Apps Involved
    • Excel
    • Asana
  • Monkey Learn Microsoft Excel

    Gravity Forms + Microsoft Excel

    Create rows on Excel on new Gravity Forms submissions Read More...
    When this happens...
    Monkey Learn Form Submission
     
    Then do this...
    Microsoft Excel Add Row
    The more quickly your form submissions arrive, the more difficult it might be to keep track of and save them all. You can, however, set up this Connect Flow to catch everything for you. When a new form submission is received in Gravity Forms, it will automatically add that information to a row in a chosen Excel spreadsheet, keeping your sheet up to date for all of your subsequent procedures.
    How This Gravity Forms and Excel Integration Works
    • Gravity Forms has received a new form submission
    • Appy Pie Connect inserts a row to an Excel spreadsheet automatically.
    What You Need
    • Gravity Forms
    • Excel
  • Monkey Learn Microsoft Excel

    Mautic + Microsoft Excel

    Update an Excel spreadsheet with new Mautic form submissions Read More...
    When this happens...
    Monkey Learn New Form Entry
     
    Then do this...
    Microsoft Excel Add Row
    Keep all of your Mautic form submissions in one location! Set up this Appy Pie Connect integration to automatically create new rows in an Excel spreadsheet whenever users fill out a form on your Mautic site. This way, you have all of your form submissions recorded in one location which is great for reporting, analytics, and more.
    How This Integration Works
    • A new form is submitted on Mautic
    • Appy Pie Connect creates a new row in your Excel spreadsheet
    Apps Involved
    • Mautic
    • Excel
  • Monkey Learn Microsoft Excel

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    {{item.message}} Read More...
    When this happens...
    Monkey Learn {{item.triggerTitle}}
     
    Then do this...
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Connect Monkey Learn + Microsoft Excel in easier way

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

    Triggers
  • New Row in Table

    Triggers when a new row is added to a table in a spreadsheet.

  • New Worksheet

    Triggers when a new worksheet is added to a spreadsheet.

    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 Row to Table

    Adds a new row to the end of a specific table.

How Monkey Learn & Microsoft Excel Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Monkey Learn with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Microsoft Excel as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Microsoft Excel with Appy Pie Connect.

    (2 minutes)

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

Integration of Monkey Learn and Microsoft Excel

  • Monkey Learn?
  • MonkeyLearn is an artificial intelligence (AI. platform that helps companies automate tasks like sentiment analysis, text classification, topic extraction, text summarization, and many others. It provides APIs to integrate machine learning models into existing business products, services, and apps.

  • Microsoft Excel?
  • Microsoft Excel is a spreadsheet program developed by Microsoft for Windows, Mac OS X, Android and iOS. It features calculation, graphing tops, pivot tables, and a macro programming language called Visual Basic for Applications. It has been a very popular application since the late 1980s, and it is still widely used in the 2010s. The user interface is based on a ribbon interface. Excel forms part of Microsoft Office.

  • Integration of Monkey Learn and Microsoft Excel
  • Excel is one of the most popular business applications used for day to day operations. There are several tasks invpved in using Excel but none of them are as tedious as manual data entry or data manipulation. Often people use spreadsheets to store data for later use or to make calculations. This method requires the data to be manually entered into the spreadsheet by the user after which they can proceed with their analysis. To further complicate matters, there are not many programs available that are useful in automating these tasks.

    MonkeyLearn simplifies this process by allowing users to create applications that can handle repetitive tasks thereby reducing the workload on the end user.

    Features:

    • Machine Learning. MonkeyLearn uses machine learning algorithms to analyze texts, emails, tweets and other online content through different modules such as categorization, sentiment analysis, language detection and many more.
    • Natural Language Processing (NLP). NLP analyzes the structure and uses of words in order to understand their meaning and context within a language. It is used in various fields such as information retrieval and machine translation. NLP is also used in web search engines to provide intelligent spell checking and browsing suggestions while typing in a query and it is also used in email spam filtering systems to detect spam emails.
    • Easy Integration. MonkeyLearn does not require any coding knowledge on behalf of the user to incorporate advanced machine learning models into applications. The developer can simply integrate the MonkeyLearn API into their application and get started right away. The API supports different programming languages such as Python, PHP, Ruby and .NET.
    • Open Source. MonkeyLearn’s service and source code are both open source under Apache v2 license with dual licensing options available for users depending on their need for customization or security of their code base respectively.
    • In-built Library. In addition to the above features, the platform also contains a library of pre-coded ready made tasks that can be used right out of the box without any modification required from the user. Some of these pre-coded tasks include text classification, sentiment analysis, topic extraction, keyphrase extraction etc., making it extremely easy to use for even novice users. The user does not have to worry about creating a complex model from scratch for each task since a task can be created from an existing model or from a combination of pre-existing models with just a few lines of code. The user can then add the new task they have created to their application in order to use it without any additional coding required.
    • Free tier. At present there is no free tier but they do provide a free trial period of 30 days in which users can try out all the features of the platform before making a decision on its purchase. Once a user decides on purchasing a subscription plan they will receive lifetime access to all features of the platform including premium support from the developers in case they face any issues in integration or usage of the platform. Furthermore, they also provide up to 50 credits per month depending on the plan purchased by the user which makes it ideal for testing purposes without having to pay up front for bulk credits initially.
    • Pricing. MonkeyLearn offers three pricing plans at present namely Monthly ($49 / month), Yearly ($349 / year), and Lifetime ($1999 one time payment. Users may choose any plan depending on their requirements but if they choose to pay annually or lifetime then they will receive an added 10% discount on their choice of plan respectively. Also, if they choose yearly then they will be charged only $1499 instead of $1999 because the total amount paid over 12 months comes out to $1499 so there is no saving if you choose lifetime plan at $1999 unless you choose yearly plan which gives you $100 discount. Since lifetime plan costs less than $2000 there is no reason why one should choose lifetime plan unless he/she needs customizations since customizations are only available if you buy lifetime plan. All plans include 30 days free trial period during which you can evaluate all features of the platform before deciding whether you wish to subscribe or not once your trial period expires. You will not be charged until your trial period expires so there’s no risk invpved here for you.
    • Comparison with Other Platforms. There are quite a few competitors in the market who offer similar services but when compared with MonkeyLearn it is evident that MonkeyLearn offers much more value for money since it doesn’t charge extra for customizations unlike other platforms which do charge extra for customizations or additional features that are not even guaranteed to work well with existing code base. Moreover, there are no hidden charges or recurring fees with MonkeyLearn whereas some other platforms charge extra for credits which are needed if you want to test out your module during development stage before incorporating it into your application permanently when it goes live which means you have paid for credits even when you haven’t really used them yet when compared with MonkeyLearn where you pay once upfront when you purchase your subscription plan without any additional costs whatsoever so you aren’t stuck with any additional fees when your project goes live unlike other platforms where you have paid up front for credits which you may never use if your project never goes live in which case you may have wasted money unnecessarily when compared with MonkeyLearn where you only pay once upfront without any additional costs whatever your project ends up being which means you have saved money in case your project never does go live in which case you haven’t wasted money unnecessarily which is better than paying up front for credits that may never be used or even worse may end up being used but there are no guarantees that these credits will work well with your code base since there are no guarantees with some other platforms where you may end up wasting money unnecessarily because there are no guarantees that their system will work well with your code base especially if your code base has bugs or is poorly structured or was written by someone who doesn’t know how to code properly which means that they either end up wasting their money on credits that don’t work well with their code base or end up spending time trying to fix their code base so that it works well with these credits which again wastes their time without any guarantee that they will succeed since there are no guarantees with some other platforms where you may end up wasting your money unnecessarily because there are no guarantees that their system will work well with your code base especially if your code base has bugs or is poorly structured or was written by someone who doesn’t know how to code properly which means that they either end up wasting their money on credits that don’t work well with their code base or end up spending time trying to fix their code base so that it works well with these credits which again wastes their time without any guarantee that they will succeed because there are no guarantees with some other platforms where you may end up wasting your money unnecessarily because there are no guarantees that their system will work well with your code base especially if your code base has bugs or is poorly structured or was written by someone who doesn’t know how to code properly which means that they either end up wasting their money on credits that don’t work well with their code base or end up spending time trying to fix their code base so that it works well with these credits which again wastes their time without any guarantee that they will succeed because there are no guarantees with some other platforms where you may end up wasting your money unnecessarily because there are no guarantees that their system will work well with your code base especially if your code base has bugs or is poorly structured or was written by someone who doesn’t know how to code properly which means that they either end up wasting their money on credits that don’t work well with their code base or end up spending time trying to fix their code base so that it works

    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.