Text & Content Analysis

Context: entity (aml)  |  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
aml
Window
Last 30 days
Articles
2
From
2026-08-14 14:51:01+00
To
2026-08-27 04:00:15+00
Range
2026-07-30 22:21:09.183505+00 β†’ 2026-08-29 22:21:09.183505+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.8300 πŸ“Š 🧲
Government 0.6000 πŸ“Š 🧲
Business, Companies 0.2800 πŸ“Š 🧲
Civil Unrest, Conflict 0.1700 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
Health 0.0500 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
2026-08-27 04:00:15+00 Science scmp.com Cross-border collaboration crucial for Shaw Prize laureates’ cancer breakthrough Analyze South China Morning Post 😐 neutral 0.1251
2026-08-14 14:51:01+00 Business forbes.com Montenegro Wants To Be Europe’s Next Crypto Hub, But Weak Regulation Might Be Costing It Big Business Analyze Lidia Kurasinska 😐 neutral 0.0352