Text & Content Analysis

Context: entity (suffern)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
suffern
Window
Last 30 days
Articles
3
From
2026-05-23 00:14:09+00
To
2026-05-27 17:36:48+00
Range
2026-05-01 02:10:37.352857+00 β†’ 2026-05-31 02:10:37.352857+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 66.67 πŸ“Š πŸ“° 🧲
freep.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Political Theatre 0.6800 πŸ“Š 🧲
Government 0.6400 πŸ“Š 🧲
Business, Companies 0.6300 πŸ“Š 🧲
Civil Unrest, Conflict 0.5900 πŸ“Š 🧲
Environment, Climate 0.1800 πŸ“Š 🧲
Entertainment 0.1000 πŸ“Š 🧲
Technology 0.0900 πŸ“Š 🧲
Friends and Family 0.0600 πŸ“Š 🧲
Other 0.0400 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-05-27 17:36:48+00 Politics freep.com Detroiter Jerome Bettis offers advice to Giants players on politics Analyze Jalen Williams 😐 neutral 0.0489
2026-05-27 03:46:13+00 Politics cnn.com Trump completes his month of GOP revenge, and other takeaways from the Texas runoffs Analyze Eric Bradner 😐 neutral 0.0988
2026-05-23 00:14:09+00 Politics cnn.com Trump meets with national security officials as he weighs next steps on Iran Analyze Kevin Liptak 😐 neutral 0.0708