Text & Content Analysis

Context: entity (nottingham)  |  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
nottingham
Window
Last 30 days
Articles
2
From
2026-07-05 04:00:23+00
To
2026-07-07 05:20:30+00
Range
2026-06-26 23:53:31.367833+00 β†’ 2026-07-26 23:53:31.367833+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6200 πŸ“Š 🧲
Technology 0.5000 πŸ“Š 🧲
Friends and Family 0.3000 πŸ“Š 🧲
Civil Unrest, Conflict 0.3000 πŸ“Š 🧲
Environment, Climate 0.1600 πŸ“Š 🧲
Political Theatre 0.0700 πŸ“Š 🧲
Health 0.0300 πŸ“Š 🧲
Food and Beverage 0.0300 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
2026-07-07 05:20:30+00 Health bbc.com NHS trust to spend £30m on Lampard mental health care inquiry Analyze bbc.com 😐 neutral 0.1163
2026-07-05 04:00:23+00 Science scmp.com Energy scientist Chen Peipei leaves Cambridge to build her own lab in Hong Kong Analyze South China Morning Post 😐 neutral 0.134