Building a Twitter Sentiment Analysis Monitoring System

October 1st, 2020

Companies often want to know how customers perceive their product while they use it and when they post their experiences online. In this course we will build a system using Python that monitors Twitter posts and extracts the sentiments associated with a product through time. By the end of the course you'll be able to use this tool to keep track of how people feel about live events, company products, the latest sport matches, and any other topic people post on Twitter about.

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I help companies through digital transformations by designing and developing systems that improve human decision making with data, cloud, software, and mathematics (Machine Learning, Operations Research, Statistics). I also enjoy coaching teams and publishing content on Smart Automation.


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