Emma Identity
A self-learning artificial intelligence that identifies authorship
Emma Identity
A self-learning artificial intelligence that identifies authorship
Emma is a self-learning algorithm developed to solve the problem of authorship identification. Her artificial intelligence uses 50 math parameters that are able to catch all the peculiarities of human and non-human way of writing. Her technology is based on stylometric techniques. Emma learns the language, analyzes the writing style, and then identifies the authorship to within 85% precision. For now, this is the highest result in the authorship attribution methodology ever achieved by engineers worldwide.
Probably many of us heard this word of wisdom a hundred times. And, the truth is that love is a fundamental core of anything. Because with love even sleepless nights in the choice decision turns into the source of inspiration rather than an energy vampire. With love tech junkies commit magic, not a crime. Now all of our teammates are super excited about being featured on Betalist! I’m so proud of everyone involved in Emma creation process and be a part of it. She is our smart girl. A perfect A.I. in authorship identification.
So, go, Emma! Go, go!