Real-Time Sentiment Pipeline for Live Tweets

This will be a two-hour advanced talk on how to build a real-time predictive analytics pipeline.

What you’ll learn

• Setting up an automated text processing pipeline in the cloud using Azure ML and R

• Setting up an elastic scaling web service endpoint for your predictive model in Azure ML

• Opening up a live Twitter stream using Python

• How to ingest the Twitter stream into Azure messaging queues via Python

• Hooking upstream processors to your queues and referencing your deployed predictive web service

• Real-time dashboarding with PowerBI and C#

• Building a sentiment classification model in Azure ML and R from a supervised Twitter dataset