Humans and machines classify text
Point-and-click software anyone can master
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 National Science Foundation-funded research into the measurements that accelerate machine-learning. Text classification is an old, hard problem, according to no less than Plato. Our proven method of adjudication creates gold standard training sets for machine-learning by ranking human annotators over time. Our patented CoderRank approach is critical for ensuring accurate, reliable results when the work of humans or machines is finally evaluated.