Modeling book to movie adaptation recommendations using machine learning

dc.contributor.author	Dubnevych, Solomiia
dc.date.accessioned	2023-07-05T13:03:36Z
dc.date.available	2023-07-05T13:03:36Z
dc.date.issued	2022
dc.identifier.citation	Dubnevych Solomiia. Modeling book to movie adaptation recommendations using machine learning. Bachelor Thesis. Ukrainian Catholic University, Faculty of Applied Sciences, Department of Computer Sciences. Lviv 2022, 34 p.	uk
dc.identifier.uri	https://er.ucu.edu.ua/handle/1/3905
dc.description.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.	uk
dc.language.iso	en	uk
dc.title	Modeling book to movie adaptation recommendations using machine learning	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk