Text & Content Analysis

Context: entity (yougov)  |  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
yougov
Window
Last 30 days
Articles
4
From
2026-04-04 10:00:55+00
To
2026-04-29 08:00:50+00
Range
2026-03-30 12:40:41.445379+00 β†’ 2026-04-29 12:40:41.445379+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.8800 πŸ“Š 🧲
Business, Companies 0.6300 πŸ“Š 🧲
Civil Unrest, Conflict 0.4000 πŸ“Š 🧲
Technology 0.3900 πŸ“Š 🧲
Friends and Family 0.2700 πŸ“Š 🧲
Political Theatre 0.2600 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Health 0.0300 πŸ“Š 🧲
Other 0.0100 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-29 08:00:50+00 Health theguardian.com A non-controversial public health policy? The UK’s gradual ban on smoking has been a PR success Analyze Devi Sridhar 😐 neutral 0.1078
2026-04-27 12:17:51+00 Business fortune.com Barbara Corcoran famously β€˜never saved a dime’: Even when she sold her business for $66 million, her first thought was β€˜What can I spend this on?’ Analyze Eleanor Pringle 😐 neutral 0.1348
2026-04-23 06:00:02+00 Politics theguardian.com Mapped: the elections that could deliver β€˜unprecedented’ losses for Labour Analyze Alex Clark,Ashley Kirk 😐 neutral 0.04
2026-04-04 10:00:55+00 Politics cnn.com Trump voter regret is clearly registering now Analyze Aaron Blake 😐 neutral 0.0396