Text & Content Analysis

Context: entity (great entertainment)  |  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
great entertainment
Window
Last 7 days
Articles
1
From
2026-09-09 10:32:52+00
To
2026-09-09 10:32:52+00
Range
2026-09-02 22:53:33.041003+00 β†’ 2026-09-09 22:53:33.041003+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4200 πŸ“Š 🧲
Political Theatre 0.3800 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Business, Companies 0.0600 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 πŸ“Š 🧲
Entertainment 0.0100 πŸ“Š 🧲
Food and Beverage 0.0100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-09 10:32:52+00 Politics theguardian.com Trump center stage at RNC in midterms gamble Analyze https://www.theguardian.com/profile/tom-ambrose 😐 neutral 0.0976