Analyzing 1000 ratings of Skype and Zoom rooms videocalls

Just in a few weeks, 200K people started following the @RateMySkypeRoom or the Bookcase Credibility projects on Twitter. Every few minutes a new screenshot of someone on TV speaking from home gets analyzed. Claude Taylor, a veteran of presidential campaigns who worked for the Clinton White House, is behind it.

Since they have already rated almost 1000 Zoom and Skype rooms I thought that would be big enough to turn all these screenshots and reviews into an structured dataset to find some clear patterns on what makes people look good or bad on videocalls.

After getting all the tweets with our scraper Tractor, I uploaded the dataset to Graphext and filter out only the original tweets containing a rating between 0 and 10. Then I clustered all the ratings using our simmilarity algorithm for short texts, which uses word2vec.