Text & Content Analysis

Context: entity (kevin trainor)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
kevin trainor
Window
Last 30 days
Articles
4
From
2026-07-17 16:07:26+00
To
2026-07-27 22:55:00+00
Range
2026-06-29 20:36:28.242158+00 β†’ 2026-07-29 20:36:28.242158+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.2300 πŸ“Š 🧲
Government 0.8900 πŸ“Š 🧲
Civil Unrest, Conflict 0.7800 πŸ“Š 🧲
Environment, Climate 0.3000 πŸ“Š 🧲
Technology 0.2900 πŸ“Š 🧲
Health 0.1900 πŸ“Š 🧲
Food and Beverage 0.1200 πŸ“Š 🧲
Political Theatre 0.0700 πŸ“Š 🧲
Other 0.1200 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-07-27 22:55:00+00 Sports wholehogsports.com Which SEC coaches were most entertaining at media days Analyze @wholehogsports 😐 neutral 0.1216
2026-07-27 22:55:00+00 Entertainment nwaonline.com Which SEC coaches were most entertaining at media days Analyze @nwademgaz 😐 neutral 0.1231
2026-07-17 17:27:42+00 Business bostonherald.com Foodborne illnesses at restaurant chains are rare but can sicken customers, roil businesses Analyze Associated Press 😐 neutral 0.0329
2026-07-17 16:07:26+00 Business police1.com 8 Chicago officers face firing over federal small business loan fraud Analyze Police1 ☹️ negative -0.0449