Text & Content Analysis

Context: entity (6 million)  |  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
6 million
Window
Last 30 days
Articles
2
From
Mon, Aug 31 β€’ 11:28 AM EDT
To
Sat, Sep 12 β€’ 6:35 AM EDT
Range
Mon, Aug 31 β€’ 1:06 AM EDT β†’ Wed, Sep 30 β€’ 1:06 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
aip.org 1 50.00 πŸ“Š πŸ“° 🧲
wbez.org 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.7900 πŸ“Š 🧲
Technology 0.4500 πŸ“Š 🧲
Business, Companies 0.3700 πŸ“Š 🧲
Environment, Climate 0.3200 πŸ“Š 🧲
Health 0.0400 πŸ“Š 🧲
Food and Beverage 0.0100 πŸ“Š 🧲
Political Theatre 0.0100 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
2026-09-12 10:35:00+00 Business wbez.org Here's how some Chicago small businesses are ramping up their use of AI Analyze https://chicago.suntimes.com/authors/amy-yee 😐 neutral 0.1135
2026-08-31 15:28:58+00 Science aip.org THE WEEK OF AUG 31, 2026 Analyze AIP 😐 neutral 0.1025