Abstract
The purpose of this project is to explore the field of machine learning and to utilize ML techniques to create a program designed to produce sentences containing a desired word, given by a user. The sentences are to mimic the style and content of the data being used to aid the user in their creative writing process. Machine learning is gaining a lot of attention in the tech world, as buzz words like ``AI'' and ``deep learning'' are seen tacked onto any and everything. Big tech companies are starting to invest a lot of time, money, and resources in machine learning research and AI implementation into their products. The goal of investing in this field is to improve the user experience by programming a computer to think like a human in order to speed up a given task. This can be seen in text prediction, search engine results, and self-driving features in newer vehicles. Using existing myths as training data, this study explores the viability of machine learning in creative disciplines, more specifically, in creative writing. The resulting generated myth-focused sentences will be analyzed against the criteria of what makes up a myth to determine if computers can replicate the same authentic and creative works written by human authors.
Advisor
Sommer, Nathan
Department
Computer Science
Recommended Citation
Stoudt, Scott, "The Use of Machine Learning in Creative Writing: Computer Generated Sentences in the Context of Classical Myths" (2019). Senior Independent Study Theses. Paper 8555.
https://openworks.wooster.edu/independentstudy/8555
Disciplines
Artificial Intelligence and Robotics
Keywords
AI, machine learning, myth, text generation, Markov chains, Writer's Block
Publication Date
2019
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2019 Scott Stoudt