Text & Content Analysis

Context: entity (volodymyr zelensky)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 5 articles

This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.

Corpus KPIs

Entity
volodymyr zelensky
Window
Last 30 days
Articles
5
From
2026-06-20 01:00:17+00
To
2026-07-12 18:24:18+00
Range
2026-06-13 01:20:06.844838+00 β†’ 2026-07-13 01:20:06.844838+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 1.9300 πŸ“Š 🧲
Government 0.9000 πŸ“Š 🧲
Business, Companies 0.8700 πŸ“Š 🧲
Civil Unrest, Conflict 0.4400 πŸ“Š 🧲
Technology 0.4400 πŸ“Š 🧲
Food and Beverage 0.1900 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Friends and Family 0.0700 πŸ“Š 🧲
Other 0.0400 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 5 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-12 18:24:18+00 Politics theatlantic.com Trump Loses Lindsey Graham Analyze Matt Viser,Jonathan Lemire 😐 neutral 0.0783
2026-07-12 10:30:26+00 Politics cnn.com β€˜Islamic Republic of Japan’: Trump’s verbal flubs are piling up Analyze Aaron Blake 😐 neutral 0.0786
2026-07-10 20:40:32+00 Politics cnn.com Bipartisan senators announce agreement with Trump administration on Russia sanctions Analyze Morgan Rimmer 😐 neutral 0.0578
2026-07-08 19:37:09+00 Health thedailybeast.com Trump, 80, Graphically Displays Worsening Health Condition Analyze Farrah Tomazin 😐 neutral 0.0577
2026-06-20 01:00:17+00 Business scmp.com Easy money or risky business? What can Hong Kong do as prediction markets boom? Analyze South China Morning Post 😐 neutral 0.0634