Text & Content Analysis

Context: entity (edinburgh)  |  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
edinburgh
Window
Last 30 days
Articles
3
From
2026-08-01 05:00:45+00
To
2026-08-14 09:30:00+00
Range
2026-07-22 05:50:29.200848+00 β†’ 2026-08-21 05:50:29.200848+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theguardian.com 2 66.67 πŸ“Š πŸ“° 🧲
vogue.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.4600 πŸ“Š 🧲
Technology 0.7600 πŸ“Š 🧲
Entertainment 0.2000 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Government 0.1600 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Food and Beverage 0.0700 πŸ“Š 🧲
Friends and Family 0.0400 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
2026-08-14 09:30:00+00 Business vogue.com How Wonderskin Turned TikTok Fame Into a $200 Million Beauty Business Analyze Amy Francombe 😐 neutral 0.1715
2026-08-12 04:00:19+00 Science theguardian.com β€˜A mouse can’t tell us what works’: UK scientists to grow miniature human organs for drug testing Analyze Ian Sample 😐 neutral 0.0922
2026-08-01 05:00:45+00 Entertainment theguardian.com From Spider-Man: Brand New Day to Ariana Grande: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1569