From the course: AWS Certified Data Analytics – Specialty (DAS-C01) Cert Prep: 4 Analysis and Visualization

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Using Mechanical Turk labeling

Using Mechanical Turk labeling

Here we have a mechanical Turk labeling system based on a real system that I developed in the past. First, we have the sports box scores here, and you can see that in this particular scenario, we could grab out the athletes name. And then what we could do is we could ask a quorum of workers, let's say 10 workers across the globe to find social media handles for that athlete. Once they agree on what the social media handles are, let's say they all find out let's say seven out of 10 of them agree that a particular Twitter handle or a LinkedIn handle is the handle that is that athletes handle, then we could pull that into a data collection system and then feed that into a machine learning system that would predict the influence of that particular athlete. So you can see here there's a multi-step process that first starts with getting some known data set, then feeding it into a group of human workers who are then going to come together as a quorum. And then later it's going to lead to a…

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