Text & Content Analysis

Context: entity (azerbaijan)  |  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
azerbaijan
Window
Last 30 days
Articles
3
From
2026-02-28 07:23:32+00
To
2026-03-11 06:49:40+00
Range
2026-02-27 11:24:53.613051+00 β†’ 2026-03-29 11:24:53.613051+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.9900 πŸ“Š 🧲
Environment, Climate 0.6600 πŸ“Š 🧲
Technology 0.3800 πŸ“Š 🧲
Government 0.3200 πŸ“Š 🧲
Friends and Family 0.2700 πŸ“Š 🧲
Civil Unrest, Conflict 0.1900 πŸ“Š 🧲
Entertainment 0.1100 πŸ“Š 🧲
Health 0.0400 πŸ“Š 🧲
Other 0.0100 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
2026-03-11 06:49:40+00 Sports sports.yahoo.com Humble beginnings, Ronaldo & NBA - how Kvaratskhelia became a star Analyze Guillem Balague - BBC Sport Columnist 😐 neutral 0.1704
2026-03-08 18:21:48+00 Business detroitnews.com War with Iran spreading economic damage far beyond oil and gas markets Analyze David J. Lynch 😐 neutral 0.064
2026-02-28 07:23:32+00 Sports sports.yahoo.com Which tyres will be used in F1 in 2026? Analyze Tasnim Chowdhury - BBC Sport journalist 😐 neutral 0.0618