The following is a guest post from InfoStrat's Dmitri Riz which is also available on the InfoStrat Tech Blog.
Major software platforms like Microsoft Azure are rapidly developing toolkits that simplify access to AI or Machine Learning technologies, making them available to a wider group of developers. This article shows how the new AI Builder tool on Microsoft Azure PowerApps allows for a quick development of a text classifier model and easy integration of the trained model in Dynamics 365 data processing.
I'll use the Dynamics 365 Email to Case process as a use case. Several of our clients are using this process to generate vast amount of customer support cases from incoming emails. Many of spam emails clear regular email filters and end up as cases in Dynamics, forcing Customer Service Reps to manually tag them as spam and close them.
The resulting set of spam cases represents a perfect training set for a binary text classifier model where feature text is represented by the Description field of the case entity and (for this example) the Resolution field contains the tag.
NOTE: I've used the SMS Spam Collection Data Set from UCI machine learning repository to create and classify sample cases using ham and spam tags.