Emma is a self-learning algorithm that monitors, analyses and understands How People Write.
Emma uses machine learning and artificial intelligence to analyze, learn and define authorsâ€™ writing style and uses this bunch of information to further define the authorship.
Emma requires about 8000 words written by some author to catch his/her writing style.
Emma uses over 50 math parameters that stand behind of what we define as â€śwriting identityâ€ť. Tested on thousands of pieces written by novelists, journalists, bloggers, researches, professors and students, Emma has proven to be accurate by 85%.
Willing to see her in action? Emmaâ€™s beta-version will be available in June 2017.