archer and jocker
NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction
Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels. The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers. It's a pretty rare individual who hasn't had a personal experience with NLP (Natural Language Processing). About 99% of those experiences are in the form of chatbots or translators, either text or speech in, and text or speech out. This has proved to be one of the hottest and most economically valuable applications of deep learning but it's not the whole story.
Algorithm Finds the Perfect Bestseller
Dave Eggers' sci-fi bestseller The Circle is apparently the "ultimate'paradigmatic' hit", according to Jodie Archer and Matthew Jockers. Archer, a former publisher, and Jockers, a co-founder of Stanford University's Literary Lab, worked together to find an algorithm capable of predicating mega-hits.