Drop in your text below or select one of my "classic" samples.
I'll analyze it with multiple parameters, and match you up, pronto.
Our algorithm developed in tandem with Cambridge University and IBM Watson creates a projected profile of the author that helps pinpoint the writing tone and style that we can magically match up with writers.
The CU and IBM tools analylze the text in a cool way, creating a profile of the author projecting their big five personality characteristics . CU's algorithm was developed comparing 300,000 personality tests with their text samples to create the model. IBM's sample size is much less, pulling from 25,000 volunteer writers.
We proposed an idea to Cambridge University: Scan 1 million samples of projects completed by our Writers, and develop projected profiles of 25,000+ authors. Then match the projected profiles with text samples submitted by our customers, making the perfect match.
We tested the new matching service with customers that opted to try out a new "Match Me Up" service featuring a blind test of the our original matching algorithm vs the new StyleMetrics Matcher. Take a look at the results announced by the CU Director of Psychometrics at our annual Content Marketing Conference.
Become a member and put the StyleMetrics Matcher AI algorithm to work. It's now patten pending and proven to deliver better results matching your needs with writers skills and experience. And stay tuned while we make the matchmaking algorithm better. And better than that.