Date of Degree
Data Analysis & Visualization
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
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.
Williams, Sheryl, "Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters" (2022). CUNY Academic Works.
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