Abstract

Cyberpunk is a contentious literary subgenre of science fiction owing specific homage to the sociopolitical climate of the 80s. This paper seeks to apply Natural Language Methodologies to online discourse surrounding the topic, alongside close-reading analysis of the fiction, in order to differentiate the genre’s transformation from novel innovation to ubiquity, spanning William Gibson’s Neuromancer, Neal Stephenson’s Snow Crash, and Ernest Cline’s Ready Player One.

Advisor

Suarez, Christopher

Second Advisor

Luri, Moses

Department

English; Statistical and Data Sciences

Disciplines

American Literature | Digital Humanities | Modern Literature

Keywords

Cyberpunk, Neuromancer, Snow Crash, Natural Language Processing, Ready Player One, Speculative Fiction, Science Fiction, K-means Clustering, Sentiment Analysis, Topic Analysis, Webscraping

Publication Date

2024

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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