Text & Content Analysis

Context: entity (sloan)  |  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
sloan
Window
Last 30 days
Articles
3
From
2026-03-10 21:16:39+00
To
2026-03-18 06:02:36+00
Range
2026-02-16 13:52:48.569709+00 β†’ 2026-03-18 13:52:48.569709+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.2100 πŸ“Š 🧲
Business, Companies 0.7500 πŸ“Š 🧲
Friends and Family 0.6000 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Technology 0.1200 πŸ“Š 🧲
Civil Unrest, Conflict 0.0500 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
Food and Beverage 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
2026-03-18 06:02:36+00 Business richmondbizsense.com City budget plan would boost potential business improvement district for Carytown Analyze Jonathan Spiers 😐 neutral 0.1117
2026-03-14 16:37:47+00 Sports usatoday.com Why Brenna Huckaby’s Paralympics future is uncertain after bronze medal Analyze Trevor McGee 😐 neutral 0.1142
2026-03-10 21:16:39+00 Sports news.mit.edu 2026 MIT Sloan Sports Analytics Conference shows why data make a difference Analyze Peter Dizikes | MIT News 😐 neutral 0.1202