Text & Content Analysis

Context: entity (guangzhou)  |  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
guangzhou
Window
Last 30 days
Articles
2
From
2026-07-28 06:00:30+00
To
2026-07-29 20:02:45+00
Range
2026-06-30 16:39:06.695994+00 β†’ 2026-07-30 16:39:06.695994+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 1 50.00 πŸ“Š πŸ“° 🧲
theguardian.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.7900 πŸ“Š 🧲
Technology 0.4000 πŸ“Š 🧲
Food and Beverage 0.3800 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Entertainment 0.0900 πŸ“Š 🧲
Political Theatre 0.0800 πŸ“Š 🧲
Civil Unrest, Conflict 0.0600 πŸ“Š 🧲
Other 0.0100 β€”
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
2026-07-29 20:02:45+00 Health bbc.com Limiting sugar before age two linked to better brain health Analyze bbc.com 😐 neutral 0.1045
2026-07-28 06:00:30+00 Politics theguardian.com Wham! 10 Days in China review – pop meets politics in George and Andrew’s great leap east Analyze Peter Bradshaw 😐 neutral 0.1903