Text & Content Analysis

Context: entity (kemp)  |  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
kemp
Window
Last 30 days
Articles
3
From
2026-05-06 16:03:49+00
To
2026-05-20 05:33:21+00
Range
2026-05-01 17:55:09.475233+00 β†’ 2026-05-31 17:55:09.475233+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.7800 πŸ“Š 🧲
Civil Unrest, Conflict 0.6700 πŸ“Š 🧲
Business, Companies 0.5800 πŸ“Š 🧲
Political Theatre 0.3400 πŸ“Š 🧲
Environment, Climate 0.2400 πŸ“Š 🧲
Technology 0.2000 πŸ“Š 🧲
Food and Beverage 0.1000 πŸ“Š 🧲
Entertainment 0.0800 πŸ“Š 🧲
Other 0.0200 β€”
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
2026-05-20 05:33:21+00 Sports sports.yahoo.com The questions for England to answer during World Cup preparation Analyze Matthew Henry - BBC Sport journalist 😐 neutral 0.1146
2026-05-15 21:36:26+00 Politics nbcnews.com Trump’s China trips ends with more questions than answers: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.1908
2026-05-06 16:03:49+00 Politics cbsnews.com U.S. to press allies to bolster counterterrorism efforts under new strategy Analyze Jennifer Jacobs,Kathryn Watson 😐 neutral 0.0378