Text & Content Analysis

Context: entity (later that year)  |  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
later that year
Window
Last 30 days
Articles
3
From
2026-05-27 01:08:57+00
To
2026-06-15 14:26:00+00
Range
2026-05-17 13:00:35.378933+00 β†’ 2026-06-16 13:00:35.378933+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.1900 πŸ“Š 🧲
Business, Companies 0.8100 πŸ“Š 🧲
Civil Unrest, Conflict 0.4500 πŸ“Š 🧲
Political Theatre 0.2500 πŸ“Š 🧲
Technology 0.1800 πŸ“Š 🧲
Environment, Climate 0.0800 πŸ“Š 🧲
Health 0.0200 πŸ“Š 🧲
Friends and Family 0.0100 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
2026-06-15 14:26:00+00 Business entrepreneur.com She Turned Celebrity Gossip Into a $22 Billion Company β€” Here's How Kalshi's Co-Founder Did It Analyze Jonathan Small 😐 neutral 0.0652
2026-06-14 21:29:26+00 Politics bbc.com Roy Hattersley: Labour politician who helped start the party's modernisation Analyze bbc.com 😐 neutral 0.042
2026-05-27 01:08:57+00 Politics texastribune.org β€œThe last of the gentlemen Republicans”: John Cornyn’s four-decade political career ends with a MAGA uprising Analyze Kayla Guo 😐 neutral 0.1018