Text & Content Analysis

Context: entity (caerphilly)  |  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
caerphilly
Window
Last 30 days
Articles
2
From
2026-04-07 05:00:40+00
To
2026-04-10 09:07:59+00
Range
2026-04-02 16:24:14.580701+00 β†’ 2026-05-02 16:24:14.580701+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
theconversation.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 0.6700 πŸ“Š 🧲
Civil Unrest, Conflict 0.5900 πŸ“Š 🧲
Business, Companies 0.2600 πŸ“Š 🧲
Political Theatre 0.2400 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Friends and Family 0.0700 πŸ“Š 🧲
Food and Beverage 0.0400 πŸ“Š 🧲
Technology 0.0100 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
2026-04-10 09:07:59+00 Politics theconversation.com May elections: what five politics experts are looking out for Analyze Murray Leith 😐 neutral 0.1124
2026-04-07 05:00:40+00 Politics theguardian.com β€˜Seismic change’: how election wins for nationalists in Celtic nations could reshape UK Analyze Bethan McKernan,Severin Carrell 😐 neutral 0.0955