This is an unofficial fork of the MetroTwitter.
About the MetroTwitter project:
- code by @chiphuyen
- blog: MetroTwitter - What Twitter reveals about the differences between cities and the monoculture of the Bay Area
- visualizations: download here.
Analysis of Twitter data in 13 English-speaking metropolitan areas (96K users and 180M tweets).
In the metrotwitter_visualization folder, you can find word clouds that represent the most popular words in bios in each city. The indi folder visualizes each city independently. The duo folder visualizes the difference between two cities.
In the metrotwitter_visualization folder, you can find word clouds that represent the most popular words in tweets in each city. The indi folder visualizes each city independently. The duo folder visualizes the difference between two cities.
In the keywords Jupyter notebook in this GitHub repo, there's the method rank_cities_by_keyword to visualize any keyword you want, either using bios or tweets.
You can also plots multiple keywords on the same plot using the method rank_cities_by_multiple_keywords.
Also in the keywords Jupyter notebook, there's the method rank_keywords_in_city to rank the popularity of keywords within a city.
Just to get a sense of how popular one vs another.
