Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
Dev.to / 6/17/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
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.
Continue reading this article on the original site.
Read original →Related Articles

Why AI coding agents need a launch layer
Dev.to

Hacking the Copilot: Injecting Custom Proprietary Tools into the AI Agent
Dev.to

A3M Router Update: Parallel LLM Routing Insights (HI)
Dev.to

A3M Router Update: Parallel LLM Routing Insights (JA)
Dev.to

A3M Router Update: Parallel LLM Routing Insights (ZH)
Dev.to