Text & Content Analysis

Context: entity (perth)  |  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
perth
Window
Last 30 days
Articles
2
From
Sun, Aug 30 β€’ 12:30 PM EDT
To
Thu, Sep 17 β€’ 10:30 AM EDT
Range
Sat, Aug 22 β€’ 5:13 AM EDT β†’ Mon, Sep 21 β€’ 5:13 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
inquirer.com 1 50.00 πŸ“Š πŸ“° 🧲
sports.yahoo.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8800 πŸ“Š 🧲
Government 0.4000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1600 πŸ“Š 🧲
Food and Beverage 0.1600 πŸ“Š 🧲
Entertainment 0.1200 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
Friends and Family 0.0800 πŸ“Š 🧲
Technology 0.0500 πŸ“Š 🧲
Other 0.0400 β€”
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-17 14:30:00+00 Sports sports.yahoo.com Biggest surprise inclusions on Germany’s roster Analyze CSmith1919 ☹️ negative -0.075
2026-08-30 16:30:00+00 Politics inquirer.com What voters in the U.S. can learn from Australia’s political system Analyze Jonathan Zimmerman 😐 neutral 0.1063