Content matters! Detecting the next bestselling novel that customers will love is a challenging task for many people within the publishing industry. Smart Data Science methods can be used to derive insights from an unknown fiction manuscript such as topics, sentiment or entities. Still, the question remains how the art of writing goes together with Machine Learning when it comes to predicting the chances of a text to become the next “Harry Potter” or future “Shades of Grey”. The QualiFiction team is happy to share their experience on these interesting challenges, both from a Data Science, Tech and business perspective.
In the context of the next idalab seminar, we will host a talk by Dr. Ralf Winkler, Founder and Managing Director of QualiFiction GmbH. QualiFiction is a young Startup based in Hamburg and Berlin, dedicated to Literature and Data Science. Their mission is to understand and extract the core characteristics that form a literary fiction text in order to predict the next bestseller that millions of readers will love.
The event took place on March 2nd, 2018.
Find Ralf’s slides on SlideShare.