Text & Content Analysis

Context: entity (fabian)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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
fabian
Window
Last 30 days
Articles
1
From
2026-05-23 15:16:32+00
To
2026-05-23 15:16:32+00
Range
2026-05-16 02:09:33.327719+00 β†’ 2026-06-15 02:09:33.327719+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
canadian NORP 1 πŸ“Š πŸ” 🧲
china GPE 1 πŸ“Š πŸ” 🧲
cold war EVENT 1 πŸ“Š πŸ” 🧲
fabian NORP 1 πŸ“Š πŸ” 🧲
html5 PERSON 1 πŸ“Š πŸ” 🧲
javascript PRODUCT 1 πŸ“Š πŸ” 🧲
mark 05232026 PERSON 1 πŸ“Š πŸ” 🧲
mark carney PERSON 1 πŸ“Š πŸ” 🧲
mark carneys PERSON 1 πŸ“Š πŸ” 🧲
north america LOC 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dw.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.4800 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Environment, Climate 0.1400 πŸ“Š 🧲
Health 0.1400 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-05-23 15:16:32+00 Politics dw.com A new Cold War: Can the middle powers forge a path forward? Analyze dw.com ☹️ negative -0.0465