Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters

<p>As a resource for social data, Twitter’s platform has been used to measure the quality of life through sentiment analysis. This capstone project explores another methodological technique—querying Twitter data around specific keyword terms to determine dominant topics, word patterns, and sentiment leanings in a geographical area. Focusing on New York City and Los Angeles for comparative analysis, the keyword term “why” will be used to build a Python analysis around topic modeling and sentiment analysis. Using this approach, the analysis reveals social and cultural differences, the overall sentiment of tweets, and subjects of interest to tweeters.</p> <p>GitHub Repository for all the files: <a href="https://github.com/shewilliams/whynyc">https://github.com/shewilliams/whynyc</a>.<br />Website: <a href="https://shewilliams.github.io/whynyc/">https://shewilliams.github.io/whynyc/</a>.</p>

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

2022

Author dc:creator

• Williams, Sheryl

Advisor dc:contributor.advisor

• Timothy Shortell

• Categorical Data Analysis
• Data Science
• Geographic Information Sciences
• Graphic Communications
• Social and Cultural Anthropology
• Social Influence and Political Communication
• Social Media
• topic modeling
• sentiment analysis
• geographic analysis
• data visualization
• twitter
• new york city
• los angeles

Repository record dc:identifier

https://academicworks.cuny.edu/gc_etds/4898

OAI identifier oai:identifier

oai:academicworks.cuny.edu:gc_etds-5933