2nd November 2012
Assuming, of course, that anyone would want to do that.
According to a release from the MIT News Office, Associate Professor Devavrat Shah says his model has been 95 percent accurate during testing and has been predicting trends hours before they appear on Twitter’s list. The algorithm incorporates a new approach to machine learning that compares real-time data with historical data and predicts outcomes based on past events that most closely align with the current situation. So, rather than analyzing a topic’s chances of trending equally against the entire historical corpus of topics, it will assign more weight to topics whose paths followed similar trajectories up the ranks of top trends.
Hari Selden, call your office. Oh, wait, you already have….