Text & Content Analysis

Context: entity (kevin trainor)  |  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
kevin trainor
Window
Last 30 days
Articles
2
From
2026-07-17 16:07:26+00
To
2026-07-17 17:27:42+00
Range
2026-06-21 01:03:32.545142+00 β†’ 2026-07-21 01:03:32.545142+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bostonherald.com 1 50.00 πŸ“Š πŸ“° 🧲
police1.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.7300 πŸ“Š 🧲
Government 0.4600 πŸ“Š 🧲
Technology 0.2600 πŸ“Š 🧲
Environment, Climate 0.1900 πŸ“Š 🧲
Health 0.1900 πŸ“Š 🧲
Food and Beverage 0.1200 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Business, Companies 0.0100 πŸ“Š 🧲
How it feels

Sentiment

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

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
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