"Why, New York City? Gauging the Quality of Life Through the Thoughts of Tweeters"
is a master's capstone project exploring the quality of life narrative in geographical areas,
primarily New York City and Los Angeles. Querying Twitter's public data around the keyword "why,"
topic modeling and sentiment analysis techniques are used to determine the narrative of the most discussed ideas.
Below are the results of the overall analysis—the top 30 topics with its associated words and overall sentiment.
Aqua-green bubbles represent positive sentiment. Yellow-gold bubbles represent negative sentiment.
Larger bubbles indicate high usage of the word in tweets.
Python + Jupyter Notebook, Visual Studio Code, and GitHub are used to put this project together.
An archive of the project is located on
GitHub.