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Real-Time Sentiment Pipeline for Live Tweets

Agenda

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
Phuc 2 1
Phuc H Duong
Phuc holds a Bachelors degree in Business with a focus on Information Systems and Accounting from the University of Washington.

Resources

Supplementary Material found here