Text & Content Analysis

Context: entity (amtrak)  |  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
amtrak
Window
Last 7 days
Articles
2
From
Tue, Sep 29 β€’ 2:18 AM EDT
To
Sun, Oct 4 β€’ 6:30 AM EDT
Range
Sun, Sep 27 β€’ 10:58 PM EDT β†’ Sun, Oct 4 β€’ 10:58 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 1.0200 πŸ“Š 🧲
Environment, Climate 0.3900 πŸ“Š 🧲
Technology 0.2600 πŸ“Š 🧲
Friends and Family 0.1800 πŸ“Š 🧲
Business, Companies 0.1100 πŸ“Š 🧲
Political Theatre 0.0200 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
2026-10-04 10:30:46+00 Business cnn.com Why doesn’t high speed rail work in America? Analyze Chris Isidore 😐 neutral 0.1066
2026-09-29 06:18:53+00 Sports nbcwashington.com Senate passes college sports bill to rein in athlete payments and transfers Analyze Mary Claire Jalonick, Joey Cappellletti,Eddie Pells | The Associated Press 😐 neutral 0.0837