Using Text Mining in R to Explore How Three CIE Related Texts Answer One of Ursinus College’s Quest Curriculum Questions: “How Should We Live Together?”

Authors

Elizabeth Dill, Ursinus CollegeFollow

Document Type

Paper

Publication Date

4-23-2025

Faculty Mentor

Hugo Montesinos-Yufa

Abstract

This presentation explores the application of text mining techniques using R programming to analyze literary text. In the process of this project, I performed data cleaning, tokenization, sentiment analysis, and frequency analysis on selected literary works. This study illustrates how R enables the transformation of unstructured textual data into meaningful insights through visualizations and statistical summaries. My presentation highlights both the technical process and the interpretive results, demonstrating how computational methods can be used to explore traditional literary analysis.

Comments

Presented as part of the Ursinus College Celebration of Student Achievement (CoSA) held April 23, 2025.

The downloadable file is PowerPoint presentation slides.

Recommended Citation

Dill, Elizabeth, "Using Text Mining in R to Explore How Three CIE Related Texts Answer One of Ursinus College’s Quest Curriculum Questions: “How Should We Live Together?”" (2025). Mathematics, Computer Science & Statistics Presentations. 16.
https://digitalcommons.ursinus.edu/math_comp_pres/16