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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp0147429d417
Title: AdonAI
Authors: Rosenthal, Eve
Advisors: Bhat, Suma
Department: Computer Science
Class Year: 2023
Abstract: This paper details the development of AdonAI, a web application designed to assist authors in overcoming writer’s block by offering automated plot and character suggestions in the form of tropes. AdonAI’s novel suggestion mechanism is powered by a plethora of natural language processing techniques in tandem with a digital humanities dataset that comprises preexisting stories and characters along with their pertinent tropes. This interactive dashboard uses the industry-standard three-tier architecture of user interface, processing, and data management to render chronological and presentational plot visualizations, Wikipedia-esque character biographies, and dynamic trope insights based on user input. This application and its corresponding written report serve as a springboard for future scholars to research the intersection between technology, religion, and storytelling, as well as a tool for authors to facilitate the brainstorming and outlining processes.
URI: http://arks.princeton.edu/ark:/88435/dsp0147429d417
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Computer Science, 1987-2024

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