Text & Content Analysis

Context: entity (asia-pacific)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
asia-pacific
Window
Last 30 days
Articles
1
From
2026-03-23 06:21:58+00
To
2026-03-23 06:21:58+00
Range
2026-02-21 21:02:55.984523+00 β†’ 2026-03-23 21:02:55.984523+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.3600 πŸ“Š 🧲
Government 0.2900 πŸ“Š 🧲
Civil Unrest, Conflict 0.2400 πŸ“Š 🧲
Political Theatre 0.0600 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-23 06:21:58+00 Business theguardian.com Stock markets rocked by Trump’s Iran ultimatum, as UK economy faces growth hit Analyze https://www.theguardian.com/profile/graemewearden ☹️ negative -0.0202