Text & Content Analysis

Context: entity (europe 5 years)  |  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
europe 5 years
Window
Last 7 days
Articles
1
From
2026-06-23 06:12:41+00
To
2026-06-23 06:12:41+00
Range
2026-06-17 18:09:04.080936+00 β†’ 2026-06-24 18:09:04.080936+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.5900 πŸ“Š 🧲
Business, Companies 0.1500 πŸ“Š 🧲
Government 0.1400 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Environment, Climate 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-06-23 06:12:41+00 Politics npr.org Britain left the EU 10 years ago. Its politics has been an unruly mess Analyze The Associated Press 😐 neutral 0.0213