Text & Content Analysis

Context: entity (nigel)  |  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
nigel
Window
Last 30 days
Articles
2
From
2026-02-28 10:44:58+00
To
2026-03-12 18:01:46+00
Range
2026-02-25 23:21:36.543192+00 β†’ 2026-03-27 23:21:36.543192+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 0.9500 πŸ“Š 🧲
Civil Unrest, Conflict 0.4600 πŸ“Š 🧲
Government 0.1800 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Friends and Family 0.0400 πŸ“Š 🧲
Food and Beverage 0.0300 πŸ“Š 🧲
Environment, Climate 0.0300 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
2026-03-12 18:01:46+00 Politics theguardian.com Why the hell did Starmer pick Mandelson? The latest mug on the media round had no idea Analyze John Crace 😐 neutral 0.0244
2026-02-28 10:44:58+00 Politics bbc.com Polanksi and Farage have more in common than you might think Analyze bbc.com 😐 neutral 0.089