Text & Content Analysis

Context: entity (10m)  |  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
10m
Window
Last 30 days
Articles
2
From
2026-02-15 13:00:22+00
To
2026-03-09 10:00:00+00
Range
2026-02-07 21:14:00.179044+00 β†’ 2026-03-09 21:14:00.179044+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

Topic Weight Actions
Technology 0.6900 πŸ“Š 🧲
Government 0.5900 πŸ“Š 🧲
Business, Companies 0.3200 πŸ“Š 🧲
Health 0.1500 πŸ“Š 🧲
Friends and Family 0.1100 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Political Theatre 0.0500 πŸ“Š 🧲
Entertainment 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
2026-03-09 10:00:00+00 Health bbc.com 'It's a very unique biological specimen': The scientists using menstrual blood to diagnose diseases Analyze Sandy Ong 😐 neutral 0.0815
2026-02-15 13:00:22+00 Politics theguardian.com California’s billionaires pour cash into elections as big tech seeks new allies Analyze Dara Kerr 😐 neutral 0.1136