Text & Content Analysis

Context: entity (eberechi eze)  |  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
eberechi eze
Window
Last 30 days
Articles
2
From
2026-03-10 21:16:39+00
To
2026-03-29 15:28:39+00
Range
2026-02-27 20:48:32.468031+00 β†’ 2026-03-29 20:48:32.468031+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cbssports.com 1 50.00 πŸ“Š πŸ“° 🧲
news.mit.edu 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8700 πŸ“Š 🧲
Technology 0.3500 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Friends and Family 0.1000 πŸ“Š 🧲
Environment, Climate 0.0900 πŸ“Š 🧲
Food and Beverage 0.0800 πŸ“Š 🧲
Political Theatre 0.0500 πŸ“Š 🧲
Other 0.0300 β€”
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
2026-03-29 15:28:39+00 Sports cbssports.com Are Arsenal facing an injury crisis? International break withdrawals reaches 10 ahead of home stretch Analyze James Benge 😐 neutral 0.095
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