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 |
Files in This Item:
File | Description | Size | Format | |
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ROSENTHAL-EVE-THESIS.pdf | 1.02 MB | Adobe PDF | Request a copy |
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