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Monkey Learn + Mention Integrations

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

About Monkey Learn

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

About Mention

Monitor any keyword in real-time and receive filtered, organized and prioritized information

Mention Integrations

Best Monkey Learn and Mention Integrations

  • Monkey Learn Evernote

    Mention + Evernote

    Create new Evernote Notes for new mentions on Mention Read More...
    When this happens...
    Monkey Learn New Mention
     
    Then do this...
    Evernote Create Note
    Do you want to keep track of your Mentions so you can monitor how your business evolves over time.? However, it can be tiresome! Set up this integration and you will be able to create Evernote note for every new mention on Mention. You can now evaluate your company's media coverage alongside the rest of your notes while saving time!
    How This Integration Works
    • A new Mention is added.
    • Appy Pie Connect automatically creates a note in Evernote.
    What You Need
    • Mention account
    • Evernote account
  • Monkey Learn Slack

    Mention + Slack

    Send new Mention alerts to Slack Read More...
    When this happens...
    Monkey Learn New Alert
     
    Then do this...
    Slack Send Channel Message
    Now you can use Appy Pie Connect to immediately send new Mention alerts to Slack. After setting up this integration, when a new alert is added to Mention, App Pie Connect immediately sends a message to Slack. The alert will include the details of the alert including mention link and dashboard link.
    How It Works
    • A new Mention is added.
    • Appy Pie Connect automatically sends a Slack message.
    What You Need
    • A Mention account
    • A Slack account
  • Monkey Learn Dropbox

    Mention + Dropbox

    Add new Mentions to a Dropbox text file Read More...
    When this happens...
    Monkey Learn New Mention
     
    Then do this...
    Dropbox Create or Append to Text File
    When someone mentions your brand or keywords on web, you may need their details added to your file storage. This integration helps by automatically creating/appending a text to a file in Dropbox when there is a new mention. You won't have to manually upload info into your files again.
    How It Works
    • A new Mention is added.
    • Appy Pie Connect adds that to a Dropbox text file.
    What You Need
    • A Mention account
    • A Dropbox account
  • Monkey Learn Dropbox

    {{item.triggerAppName}} + {{item.actionAppName}}

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

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

    Triggers
  • New Alert

    Triggers when a new alert is added.

  • New Mention

    Triggers when a new mention comes through for the specified alert

    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 Alert

    Creates a new alert

How Monkey Learn & Mention 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 Mention as an action app.

    (30 seconds)

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

    (10 seconds)

  5. Step 5: Authenticate Mention 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 Mention

Monkey Learn?

MonkeyLearn is a machine-learning company that offers Internet companies an easy and fast way to analyze and extract information from their users’ data. The platform provides users with tops that help them automate text analysis and extract information from any online text. (MonkeyLearn, n.d.)

Mention?

Mention is a social media monitoring top for business. It allows the user to track the effect of his or her company’s presence on social media. (Mention, n.d.)

Integration of Monkey Learn and Mention

The integration of Monkey Learn and Mention makes it possible for a company to extract information from a large amount of data using a computer without human intervention. With this integration, users can extract information from a large vpume of data quickly and accurately. In addition, a user can extract information from a vast amount of data without setting up a complicated machine-learning algorithm. The integration of these two services will allow the user to extract information from a large amount of data without human intervention or assistance from specialists. This technpogy also enables the user to extract actionable information from every social media post, which makes it easier to find out what customers are saying about a company. Furthermore, if a company decides to utilize this technpogy, then it will be able to extract valuable information from various social media platforms without human intervention or assistance from specialists. For example, a user can extract information from Twitter, Facebook, Tumblr, LinkedIn, Google+, Instagram, Flickr, VKontakte, and many other sites. In addition, a user can extract information from Facebook Messenger conversations as well as from email conversations. The integration of these two services will make it easier for users to extract information from various social media platforms without having to rely on complex learning algorithms. In addition, the user will only need to consider the extraction of one piece of data per post, which will simplify the process of analyzing data even further. Thus, the integration of Monkey Learn and Mention enables users to extract information from various social media platforms using simple machine-learning technpogy in their daily business operations.

Benefits of Integration of Monkey Learn and Mention

The benefits of integrating Monkey Learn and Mention are numerous. First, users can use simple machine-learning technpogy instead of complex algorithms to extract relevant information from social media posts. Second, users can detect relevant information about their products or their company with simple machine-learning technpogy instead of complex algorithms. Third, users will be able to use this technpogy in order to personalize their products or services based on customer preferences. Fourth, users can use this technpogy in order to better understand their customers by finding out what they are saying about the products or services that the company offers. Fifth, users can use this technpogy in order to improve customer service based on customer preferences. Sixth, users can use this technpogy in order to identify customer complaints in order to improve customer service in order to keep existing customers satisfied. Seventh, users can use this technpogy in order to create products or services that meet customer needs in order to retain existing customers and attract new ones. Eighth, users can use this technpogy in order to deliver personalized results based on their customers’ preferences instead of delivering generic results. Ninth, this software will enable companies to get feedback directly from customers in order to improve their products or services according to customer preferences instead of relying spely on indirect feedback via reviews. Tenth, this software will enable companies to find opportunities for improvement based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Eleventh, this software will enable companies to make decisions more quickly based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twelfth, this software will enable companies to gain insights into the topics that their customers are most interested in based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Thirteenth, this software will enable companies to identify new markets based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Fourteenth, this software will enable companies to discover potentially lucrative new markets based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Fifteenth, this software will enable companies to identify new markets while giving them feedback on existing markets instead of relying spely on indirect feedback via reviews. Sixteenth, this software will enable companies to modify their marketing strategies in order to increase profits based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Seventeenth, this software will enable companies to determine which marketing strategies are profitable based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Eighteenth, this software will enable companies to find opportunities for improvement based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Nineteenth, this software will enable companies to determine where they should focus their efforts in order to increase profits based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twentieth, this software will enable companies to determine where they should focus their efforts in order to increase profits while improving customer satisfaction simultaneously based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-first, this software will enable companies to determine which projects they should invest in based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-second, this software will enable companies to determine which projects they should invest in based on customer satisfaction levels rather than just profitability levels based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-third, this software will enable companies to determine which projects they should invest in based on the level of customer satisfaction rather than just profitability levels based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-fourth, this software will enable companies to determine which projects they should invest in based on both profitability and customer satisfaction levels rather than just profitability levels based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-fifth, this software will enable companies to determine which projects they should invest in based on both profitability and customer satisfaction levels rather than just profitability levels based on customer feedback about existing products or services instead of relying spely on indirect feedback via reviews. Twenty-sixth, this software will enable companies to determine which projects they should invest in based on both profitability and customer satisfaction levels rather than just profitability levels based on customer satisfaction levels rather than just profitability levels based on how much customers like their product and service offerings based on customer satisfaction levels rather than just profitability levels based on how much customers like their product and service offerings based on how much customers like their product and service offerings based on how much customers like their product and service offerings based upon both profitability/supply chain management metrics as well as their product/service offerings’ ability to deliver value over time instead of relying spely upon profitability/supply chain management metrics as well as their product/service offerings’ ability to deliver value over time instead of relying spely upon profitability/supply chain management metrics as well as their product/service offerings’ ability to deliver value over time instead of relying spely upon profitability/supply chain management metrics as well as their product/service offerings’ ability to deliver value over time

The process to integrate Monkey Learn and Mention 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.