Skype for Business + Monkey Learn Integrations

Syncing Skype for Business with Monkey Learn is currently on our roadmap. Leave your email address and we’ll keep you up-to-date with new product releases and inform you when you can start syncing.

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About Skype for Business

Skype for Business Online is the cloud-based version of Skype for Business. With Skype for Business in your workplace, you can also see the people you're talking to on a screen—whether they’re sitting across the table from you or at the other side of the world

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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.

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Skype for Business?

Skype for Business is an application of Microsoft Office 365, which is the cloud version of Microsoft Office. It is used to make calls to other people on Skype for Business users. Skype for Business provides the video conferencing feature, which allows users to make video calls to other users around the world. It also provides phone calls to landlines and mobile phones. Skype for Business is a “Business Productivity Online Suite” of tops that are used for cplaboration between multiple people.

Monkey Learn?

MonkeyLearn is a machine learning API that is used to extract information from text. It has two main features. sentiment analysis and text classification. MonkeyLearn can be used with several different languages, including English, Spanish, French, German, Italian, Portuguese, Russian, Dutch, Turkish, Japanese, Chinese, Arabic, Hindi, Ppish, Swedish, Norwegian, Danish, Finnish, Czech, Greek and Hungarian. It has about 25 different models for sentiment analysis and text classification. Separating these models into two categories makes it easier to find the model that will work best for your specific use case.

Integration of Skype for Business and Monkey Learn

Integration between Skype for Business and Monkey Learn can improve both applications by using each other’s strengths. This integration allows the user of Skype for Business to send messages with more substance than before. The user can now incorporate sentiment analysis and text classification into their messages. This helps the user provide more detail in explaining important information like customer service issues or product support issues. Integrating these two applications helps the user create more accurate messages without having to do this manually. These messages can then be sent to customers or clients who need help or who want more information.

Benefits of Integration of Skype for Business and Monkey Learn

Monkey Learn can help improve the productivity of those using Skype for Business by providing additional information about the tone and sentiment of messages. With this additional information, users can determine if a message should be taken seriously or if it should be ignored as just positive feedback from a happy customer. This will allow users to spend less time figuring out if a message should be taken seriously or not. This could also increase the level of satisfaction from customers because they received a faster response to their questions or concerns by a customer service representative. Integrating Skype for Business and Monkey Learn will help companies save money because less time will be spent on analyzing messages and determining whether they should be taken seriously or not. This could also give customers a better experience because they will receive a faster response from customer service representatives when they have questions or concerns about a company’s products or services.

The process to integrate Skype for Business and Monkey Learn 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.

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