Building Real-Time Sentiment Pipeline for Live Tweets

Dive into an advanced two-hour talk and demo on constructing a real-time predictive analytics pipeline for live tweet sentiment analysis. Learn to develop a sentiment classification model using Azure ML and R, set up an automated text processing pipeline in the cloud, and create an elastic scaling web service endpoint. Explore opening a live Twitter stream with Python, ingesting it into Azure messaging queues, and connecting stream processors to deployed predictive web services. Master real-time dashboarding techniques using PowerBI and C#. Access supplementary materials and code samples to enhance your learning experience and apply these cutting-edge data science techniques to real-world scenarios.

Building Real-Time Sentiment Pipeline for Live Tweets