Text & Content Analysis

Context: entity (us navy)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
us navy
Window
Last 7 days
Articles
2
From
2026-04-01 04:00:58+00
To
2026-04-02 04:00:55+00
Range
2026-04-01 03:41:27.327386+00 β†’ 2026-04-08 03:41:27.327386+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.7100 πŸ“Š 🧲
Civil Unrest, Conflict 0.5800 πŸ“Š 🧲
Environment, Climate 0.2800 πŸ“Š 🧲
Government 0.2000 πŸ“Š 🧲
Business, Companies 0.1700 πŸ“Š 🧲
Technology 0.0600 πŸ“Š 🧲
Food and Beverage 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-02 04:00:55+00 Politics cnn.com Trump makes his best case for the war β€” but fails to ease worries about how it will end Analyze Stephen Collinson 😐 neutral 0.0728
2026-04-01 04:00:58+00 Politics cnn.com Trump might end his war β€” but the rest of the world may pay the price Analyze Stephen Collinson 😐 neutral 0.0763