Text & Content Analysis

Context: entity (pentagon)  |  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
pentagon
Window
Last 7 days
Articles
2
From
Tue, Sep 22 β€’ 11:37 AM EDT
To
Fri, Sep 25 β€’ 12:01 AM EDT
Range
Sat, Sep 19 β€’ 11:11 AM EDT β†’ Sat, Sep 26 β€’ 11:11 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 50.00 πŸ“Š πŸ“° 🧲
detroitnews.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.7300 πŸ“Š 🧲
Government 0.4300 πŸ“Š 🧲
Environment, Climate 0.3600 πŸ“Š 🧲
Political Theatre 0.3600 πŸ“Š 🧲
Technology 0.0600 πŸ“Š 🧲
Health 0.0500 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
2026-09-25 04:01:30+00 Politics cnn.com Intelligence from Chinese groups aiding in Iran’s increasingly effective targeting of US sites, sources say Analyze Katie Bo Lillis,Zachary Cohen,Kylie Atwood,Haley Britzky 😐 neutral 0.04
2026-09-22 15:37:01+00 Politics detroitnews.com As resistance mounts, Trump reaches for a familiar shield: national security Analyze Nandita Bose and Joseph Ax, The Detroit News 😐 neutral 0.0694