Text & Content Analysis

Context: entity (senedd)  |  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
senedd
Window
Last 7 days
Articles
2
From
2026-03-23 07:00:43+00
To
2026-03-29 09:33:08+00
Range
2026-03-22 19:48:14.868699+00 β†’ 2026-03-29 19:48:14.868699+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.7600 πŸ“Š 🧲
Business, Companies 0.4700 πŸ“Š 🧲
Civil Unrest, Conflict 0.3500 πŸ“Š 🧲
Health 0.1500 πŸ“Š 🧲
Political Theatre 0.1000 πŸ“Š 🧲
Technology 0.0800 πŸ“Š 🧲
Environment, Climate 0.0800 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 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