Document Type
Article
Abstract
By utilizing the Twitter IDs and their corresponding posts in the database, we were able to create a UI that generates a graph that demonstrates a word or phrases' usage over time based on the number of times mentioned within the time span of the database (2011-2023). In the future, this could be improved by combining it with the Twitter API to monitor live trends and associations.
Disciplines
Data Science
Publication Date
4-4-2023
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Qureshi, Tor, "Twitter Database Health Visualization" (2023). 2023 IDIR Data Visualization Challenges. 4.
https://mavmatrix.uta.edu/utadatathon_2023viz/4