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Document Type
Poster
Publication Date
10-1-2025
Abstract
This research explores how public conversations surrounding Juneteenth have evolved over time by analyzing 10,000 tweets. Through annotation of sentiment, emotion, and topics, the project provides insight into how Juneteenth is celebrated, debated, and understood across diverse cultural and political contexts. The resulting dataset lays the groundwork for a machine learning model capable of identifying large-scale patterns in language, tone, and narrative.
Department
Department of Business Analytics, DePauw University, Greencastle, IN
Project Mentor
Amy Eremionkhale and George Eremionkhale
Recommended Citation
Nguyen, Ky; Nguyen, Quan; Singh, Khusi; and Tran, Annie, "Analyzing the Evolving Digital Public Dialogue on Juneteenth" (2025). Annual Student Research Poster Session. 223.
https://scholarship.depauw.edu/srfposters/223
Funding and Acknowledgements
Asher Grant for Social Science Committee