What the GOP Debate taught us about machine learning

While large swaths of Twitterdom were playing drinking games during the GOP Debate two nights ago, we had some fun of our own playing with our machine learning classifier. Here’s what we learned: What worked out well Our classifier really excelled in two important categories: candidate identification and sentiment. Correctly distinguishing candidates was something we thought we’d see, since, in …