Text & Content Analysis

Context: entity (senedd)  |  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
senedd
Window
Last 30 days
Articles
3
From
2026-03-09 22:50:07+00
To
2026-03-29 09:33:08+00
Range
2026-02-27 14:15:31.702638+00 β†’ 2026-03-29 14:15:31.702638+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 2 66.67 πŸ“Š πŸ“° 🧲
theguardian.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.9000 πŸ“Š 🧲
Government 0.8400 πŸ“Š 🧲
Civil Unrest, Conflict 0.6900 πŸ“Š 🧲
Technology 0.1900 πŸ“Š 🧲
Health 0.1500 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Environment, Climate 0.0800 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-29 09:33:08+00 Politics bbc.com North Wales NHS is 'dire' - how can political parties fix Betsi? Analyze bbc.com 😐 neutral 0.0138
2026-03-23 07:00:43+00 Politics theguardian.com β€˜Anyone but Labour’ or β€˜anyone but Reform’? Clash of animosities likely to define May local elections Analyze Pippa Crerar 😐 neutral 0.1092
2026-03-09 22:50:07+00 Politics bbc.com Meta removes UK politics deepfake pages after BBC investigation Analyze bbc.com ☹️ negative -0.022