Text & Content Analysis

Context: entity (berlin)  |  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
berlin
Window
Last 7 days
Articles
2
From
2026-03-22 20:00:53+00
To
2026-03-24 22:30:00+00
Range
2026-03-19 22:48:39.274541+00 β†’ 2026-03-26 22:48:39.274541+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
news-herald.com 1 50.00 πŸ“Š πŸ“° 🧲
vtdigger.org 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.0100 πŸ“Š 🧲
Friends and Family 0.3900 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Environment, Climate 0.1800 πŸ“Š 🧲
Technology 0.1100 πŸ“Š 🧲
Health 0.0700 πŸ“Š 🧲
Civil Unrest, Conflict 0.0200 πŸ“Š 🧲
Entertainment 0.0100 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 22:30:00+00 Business vtdigger.org In visit to Vermont Statehouse, Japanese diplomats talk business and baseball Analyze Theo Wells-Spackman 😐 neutral 0.1208
2026-03-22 20:00:53+00 Science news-herald.com Educational Service Center awarded Teach Computer Science 2.0 Grant Analyze Chad Felton 😐 neutral 0.2057