Text & Content Analysis

Context: entity (strull/ bbc)  |  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
strull/ bbc
Window
Last 30 days
Articles
2
From
2026-03-09 10:00:00+00
To
2026-04-04 08:21:18+00
Range
2026-03-05 15:36:06.567+00 β†’ 2026-04-04 15:36:06.567+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
Technology 1.3600 πŸ“Š 🧲
Business, Companies 0.2100 πŸ“Š 🧲
Health 0.1600 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Friends and Family 0.1100 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
2026-04-04 08:21:18+00 Health bbc.com How bad smells affect your health Analyze Chris Marshall 😐 neutral -0.0142
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