Abstract
Poetry and rap are dissected using text mining techniques in order to determine overall trends in the words used by both. With this data, the way in which ideas and concepts are expressed can be compared and contrasted as a way of showing the legitimacy of rap as a form of literary expression. Other topics within the paper are: a background of the history of rap and the digital humanities, and an example of a close reading featuring a medieval poem and a rap by Eminem. This demonstrates how even in a traditional way of handling texts, both poetry and rap are capable of discussing complex thematic elements.
Degree Date
Spring 5-15-2021
Document Type
Distinction Project
Advisor
Dr. Emma WIlson
Subject Area
Humanities, Language and Literature, English and American
Number of Pages
81
Format
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Giller, Remington Yve, "Using Big Data to Facilitate A Lyrical Analysis of Poetry and Rap" (2021). English Undergraduate Distinction Projects. 5.
https://scholar.smu.edu/hum_sci_english_distinction/5
Included in
African American Studies Commons, American Popular Culture Commons, Composition Commons, Cultural History Commons, Digital Humanities Commons, Fashion Design Commons, Literature in English, North America Commons, Literature in English, North America, Ethnic and Cultural Minority Commons, Musicology Commons, Poetry Commons
