The Graduate School and University Center of The City University of New York
Stand-up Comedy Visualized
Abstract
dc:description.abstract<p>Stand-up comedy has become an increasingly popular form of comedy in the recent years and comedians reach audiences beyond the halls they are performing through streaming services, podcasts and social media. While comedic performances are typically judged by how 'funny' they are, which could be proxied by the frequency and intensity of laughs through the performance, comedians also explore untapped social issues and provoke conversation, especially in this age where interaction with artists goes beyond their act. It is easy to see commonalities in the topics addressed in comedians’ work such as relationships, race and politics.This project provides an interactive and illustrative view into comedians and a topical analysis of stand-up comedy performances which can be viewed <a href="https://beyenidogan.github.io/ComedyAnalysis/">here</a>.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- Master
- Discipline thesis:degree_discipline
- Data Analysis & Visualization
- Grantor
- The Graduate School and University Center of The City University of New York
- Year dc:date.available
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Yenidogan, Berna
- Advisor dc:contributor.advisor
-
- Ellie Frymire
Subjects
dc:subject × 17- Broadcast and Video Studies
- Critical and Cultural Studies
- Discourse and Text Linguistics
- Interdisciplinary Arts and Media
- Other Arts and Humanities
- Other Computer Engineering
- Other Linguistics
- Performance Studies
- Social Influence and Political Communication
- Speech and Rhetorical Studies
- Stand-up Comedy
- Comedy
- Topic Analysis
- Data
- Machine Learning
- Python
- Data Visualization
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://academicworks.cuny.edu/gc_etds/5235
- OAI identifier oai:identifier
- oai:academicworks.cuny.edu:gc_etds-6306