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To get this go to the Azure Text Analytics site and sign up for a free account (if you don’t already have one) by going to Getting started. When you get to the Text Analytics service, you will be required to enter a connection name and account key. Select “Use this template” and sign into each service. I want to get notified by email when I receive tweets which are very positive in sentiment.įrom this screen, you can see that the services involved in this Flow are Twitter, Text Analytics and Mail. In this example, I’m going to use the “Get emails for positive tweets” template.

Have you ever wanted to be alerted to a negative email from the boss? Well now there is a template for it! The returned sentiment value can then be used to start an action or chain of events. Some interesting starter templates appear including analysing text for positive or negative sentiment via Twitter, Yammer and email. Starting in Microsoft Flow, search the templates for “Text analytics”. If you are not familiar with Flow, check out some of my earlier posts. In this blog post, I’m going to show you how to use the text analytics cognitive API in Microsoft Flow without any code at all. Microsoft have really opened up machine learning to the average developer (or non-developer)! The APIs give you access to computer vision, face emotion, face detection, text analytics, translators and much more.

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Take a look at the available APIs and try them for free here. Did you know that there are APIs to access machine learning functionality via Microsoft’s Cognitive Services API? Did you also know that you can easily connect to these services in Office 365?

I recently attended a fascinating talk on machine learning by Martin Kearn and an implementation of this in Microsoft Flow by Mark Stokes.

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