Text & Content Analysis

Context: entity (air force one)  |  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
air force one
Window
Last 7 days
Articles
2
From
2026-03-24 00:25:20+00
To
2026-03-24 04:00:34+00
Range
2026-03-22 08:37:40.979608+00 β†’ 2026-03-29 08:37:40.979608+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
Government 0.5500 πŸ“Š 🧲
Civil Unrest, Conflict 0.4800 πŸ“Š 🧲
Political Theatre 0.4600 πŸ“Š 🧲
Business, Companies 0.2000 πŸ“Š 🧲
Environment, Climate 0.1900 πŸ“Š 🧲
Technology 0.0900 πŸ“Š 🧲
Health 0.0300 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
2026-03-24 04:00:34+00 Politics cnn.com Why Trump may not be able to TACO in Iran β€” even if he wants to Analyze Stephen Collinson 😐 neutral 0.062
2026-03-24 00:25:20+00 Politics cnn.com Markwayne Mullin confirmed to lead a DHS in turmoil Analyze Morgan Rimmer,Alison Main 😐 neutral 0.1303