Azure Stream & Twitter Sentiment Analytics ML Dashboard on PowerBI

Recently, the integration of Azure Stream Analytics & Azure Machine Learning became available as preview update and it’s possible to add AML web service URL and API key as ‘custom functions‘ with ASA input. In this demo, realtime tweets are collected based on keywords like ‘#HappyHolidays2016‘, ‘#MerryChristmas‘, ‘#HappyNewYear2016‘ and they are directly stored on a .csv file and saved on OneDrive. Here goes the solution architecture diagram of the POC. Now, add the Service Bus event hub endpoint as input to the ASA job, while deploying the ‘Twitter Predictive Sentiment Analytics Model‘  and click on ‘Open in Studio‘ to start deploying the model. Don’t forget to run the solution before deploying. Once the model is deployed, open the ‘Web Service‘ dashboard page to get the model URL and API key, click…


Link to Full Article: Azure Stream & Twitter Sentiment Analytics ML Dashboard on PowerBI