Text & Content Analysis

Context: entity (number 10)  |  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
number 10
Window
Last 30 days
Articles
2
From
2026-05-01 06:09:47+00
To
2026-05-15 20:21:08+00
Range
2026-04-16 04:48:14.769632+00 β†’ 2026-05-16 04:48:14.769632+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.7600 πŸ“Š 🧲
Business, Companies 0.4300 πŸ“Š 🧲
Government 0.3900 πŸ“Š 🧲
Political Theatre 0.1400 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Technology 0.0700 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
Entertainment 0.0200 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
2026-05-15 20:21:08+00 Politics bbc.com How Rayner, Streeting and Burnham weakened PM in 12 hours of political drama Analyze bbc.com 😐 neutral 0.1345
2026-05-01 06:09:47+00 Politics bbc.com Nick Robinson: Labour's London squeeze exposes a fragmented British politics Analyze bbc.com 😐 neutral 0.0775