Text & Content Analysis

Context: entity (follow suffolk)  |  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
follow suffolk
Window
Last 30 days
Articles
3
From
2026-03-08 06:56:25+00
To
2026-03-30 04:50:09+00
Range
2026-02-28 11:36:29.440076+00 β†’ 2026-03-30 11:36:29.440076+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 3 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.6900 πŸ“Š 🧲
Business, Companies 0.6600 πŸ“Š 🧲
Technology 0.6500 πŸ“Š 🧲
Friends and Family 0.4500 πŸ“Š 🧲
Civil Unrest, Conflict 0.2500 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Political Theatre 0.0900 πŸ“Š 🧲
Health 0.0600 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
2026-03-30 04:50:09+00 Sports bbc.com New scoreboard part of £400,000 sports funding in Mid Suffolk Analyze bbc.com 😐 neutral 0.0827
2026-03-26 05:58:29+00 Health bbc.com Ipswich paramedic died after struggling with her mental health Analyze bbc.com 😐 neutral 0.0468
2026-03-08 06:56:25+00 Politics bbc.com Students in Bury St Edmunds give their views on politics Analyze bbc.com 😐 neutral 0.1113