Humans and machines learn together how to classify text
Humans are good at some things and computers are good at others. A consistent back and forth between humans and machines increases the ability of both to learn. Our text analytics software and data science methods originate in a decade of NSF-funded research into the measurements that accelerate machine-learning. Text classification is an old, hard problem. Our method of adjudication creates gold standard training sets to improve machine-learning by ranking human annotators over time.