Text & Content Analysis

Context: entity (melissa hogenboom)  |  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
melissa hogenboom
Window
Last 30 days
Articles
2
From
2026-03-12 10:00:00+00
To
2026-04-04 08:21:18+00
Range
2026-03-05 18:21:19.659854+00 β†’ 2026-04-04 18:21:19.659854+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 1.1300 πŸ“Š 🧲
Business, Companies 0.6400 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Friends and Family 0.0700 πŸ“Š 🧲
Health 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
2026-04-04 08:21:18+00 Health bbc.com How bad smells affect your health Analyze Chris Marshall 😐 neutral -0.0142
2026-03-12 10:00:00+00 Science bbc.com Nine tips to help you cope during turbulent times Analyze The BBC Science Features team 😐 neutral 0.1712