Text & Content Analysis

Context: entity (berlin)  |  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
berlin
Window
Last 7 days
Articles
3
From
2026-09-07 12:09:33+00
To
2026-09-12 11:49:16+00
Range
2026-09-06 11:05:43.842995+00 β†’ 2026-09-13 11:05:43.842995+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.3100 πŸ“Š 🧲
Government 0.4800 πŸ“Š 🧲
Civil Unrest, Conflict 0.3700 πŸ“Š 🧲
Entertainment 0.2700 πŸ“Š 🧲
Environment, Climate 0.2100 πŸ“Š 🧲
Political Theatre 0.1200 πŸ“Š 🧲
Food and Beverage 0.1100 πŸ“Š 🧲
Friends and Family 0.1000 πŸ“Š 🧲
Other 0.0200 β€”
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
2026-09-12 11:49:16+00 Politics derspiegel.substack.com Germany’s Political Tailspin: Your Weekly SPIEGEL Recap Analyze DER SPIEGEL,Charles Hawley 😐 neutral 0.0744
2026-09-12 05:00:29+00 Entertainment theguardian.com From Practical Magic 2 to Saturday Night Live UK: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1216
2026-09-07 12:09:33+00 Politics variety.com Festival Chiefs Urge Political Protection at Lumiere Summit Analyze Naman Ramachandran 😐 neutral 0.0811