Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs

Dev.to / 6/17/2026

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Key Points

  • The article presents an exploratory workflow for analyzing Covid-19 tweets using topic modeling as a way to uncover latent themes in the text data.
  • It applies UMAP to visualize high-dimensional tweet representations in a lower-dimensional space to help interpret topic structure and relationships.
  • The analysis further uses DiGraphs (directed graph methods) to model how topics or entities relate in directed ways, enabling network-style insights.
  • Overall, the piece focuses on combining multiple techniques (topic modeling, UMAP, and graph analysis) to derive interpretable patterns from social-media content.

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