October 1st, 2020
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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.
Smart Automation leverages feedback loops between humans and machines to efficiently evolve systems and effectively leverage each other's strengths. Humans can think creatively and openly to find novel solutions while machines can efficiently search through enormous amounts of data to find specific patterns. When these two skill sets are combined appropriately, they provide huge value. In this post we go through a high-level view of feedback loops for Smart Automation and the best ways to leverage them.