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Embark on a humorous and data-driven journey in this JSConf US 2018 conference talk as Burke Holland and Jasmine Greenway attempt to uncover the true identity behind the popular Twitter parody account @horse_js. Explore the ingenious process they developed, leveraging machine learning techniques, Azure Functions, Cosmos DB, and Cognitive Services API to analyze tweets, followers, and various data points. Delve into sentiment analysis, time series analysis, and graph analysis as the speakers compare tweets, examine follower patterns, and conduct frequency analysis. Learn about the assumptions made, the questions asked, and the aggregate queries performed in this entertaining quest to solve the mystery of @horse_js's identity.
