Dissertations, Theses, and Capstone Projects
Date of Degree
6-2022
Document Type
Capstone Project
Degree Name
M.S.
Program
Data Analysis & Visualization
Advisor
Timothy Shortell
Subject Categories
Categorical Data Analysis | Data Science | Geographic Information Sciences | Graphic Communications | Social and Cultural Anthropology | Social Influence and Political Communication | Social Media
Keywords
topic modeling, sentiment analysis, geographic analysis, data visualization, twitter, new york city, los angeles
Abstract
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.
GitHub Repository for all the files: https://github.com/shewilliams/whynyc.
Website: https://shewilliams.github.io/whynyc/.
Recommended Citation
Williams, Sheryl, "Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters" (2022). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/4898
File contains Python and website files
sheryl-williams-2022-capstone-project-20220531185505.warc (7824 kB)
Archived version of project website
Included in
Categorical Data Analysis Commons, Data Science Commons, Geographic Information Sciences Commons, Graphic Communications Commons, Social and Cultural Anthropology Commons, Social Influence and Political Communication Commons, Social Media Commons
Comments
Online component: https://shewilliams.github.io/whynyc/