Text & Content Analysis

Context: entity (airbus)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
airbus
Window
Last 30 days
Articles
3
From
2026-04-18 13:15:00+00
To
2026-04-23 23:30:14+00
Range
2026-04-05 03:49:15.1703+00 β†’ 2026-05-05 03:49:15.1703+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.9500 πŸ“Š 🧲
Technology 0.8300 πŸ“Š 🧲
Environment, Climate 0.7400 πŸ“Š 🧲
Business, Companies 0.3600 πŸ“Š 🧲
Political Theatre 0.0600 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Health 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-23 23:30:14+00 Science sciencealert.com The Most Efficient Way to Evacuate a Plane, According to Science Analyze Ivan Farkas 😐 neutral 0.0603
2026-04-23 07:00:00+00 Business fortune.com How Spirit Airlines’ business model collapsedβ€”and why a Trump bailout could make things worse Analyze Shawn Tully 😐 neutral 0.1487
2026-04-18 13:15:00+00 Business kiplinger.com The Space Sector Prepares to Blast Off Analyze John Miley 😐 neutral 0.1865