Text & Content Analysis

Context: entity (amtrak)  |  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
amtrak
Window
Last 30 days
Articles
3
From
Wed, Sep 9 β€’ 1:49 PM EDT
To
Sun, Oct 4 β€’ 6:30 AM EDT
Range
Fri, Sep 4 β€’ 11:24 PM EDT β†’ Sun, Oct 4 β€’ 11:24 PM EDT
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.3500 πŸ“Š 🧲
Environment, Climate 0.6800 πŸ“Š 🧲
Friends and Family 0.4800 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Business, Companies 0.1600 πŸ“Š 🧲
Political Theatre 0.0200 πŸ“Š 🧲
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
2026-10-04 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
2026-09-09 17:49:00+00 Science citylimits.org 'Like Science Fiction': Resident Votes and Virtual Reality Drive NYCHA Campus Transformation Analyze BySunny Nagpaul 😐 neutral 0.1104