Modeling book to movie adaptation recommendations using machine learning

Abstract

The art of adapting existing text for the film is a challenge for the scriptwriter. This study was conducted to develop the tool to generate tips on the book-to-movie adaptation analyzing existing scenarios. To do it the Natural Language Processing techniques and Machine Learning were tried. The hypothesis of using Neural Networks as the main approach were denied. However, it is very efficient as a helping tool. The result of this work is a web tool for book and script analysis visualization and recommendations generation. It is the instrument for story exploratory analysis created for scriptwriters and fandom members.