This tutorial is designed to help you quickly setup a simple Stream Analytics job with Machine Learning integration. We will leverage a Sentiment Analytics Machine Learning Model from Cortana Analytics Gallery to analyze streaming text data and get determine the sentiment score in real time. This is a good tutorial to understand scenarios such as real time sentiment analytics on streaming twitter data, customer chat record analysis with support staff, comments on forums/blogs/videos and many other real-time predictive scoring scenarios. In this tutorial a sample CSV file with text (as shown in figure 1 below) is provided as input in the Azure Blob Store. The job will apply the Sentiment Analytics model as a user-defined function (UDF) on the sample text data from the blob store. The end result will…

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