Text & Content Analysis

Context: entity (emma)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 4 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
emma
Window
Last 30 days
Articles
4
From
2026-03-02 17:47:06+00
To
2026-03-22 15:00:24+00
Range
2026-02-25 14:25:02.848572+00 β†’ 2026-03-27 14:25:02.848572+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.8700 πŸ“Š 🧲
Friends and Family 0.9300 πŸ“Š 🧲
Government 0.3500 πŸ“Š 🧲
Technology 0.2900 πŸ“Š 🧲
Environment, Climate 0.2800 πŸ“Š 🧲
Entertainment 0.1800 πŸ“Š 🧲
Health 0.0400 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 πŸ“Š 🧲
Other 0.0100 β€”
How it feels

Sentiment

Label Articles Actions
😐 Neutral 4 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-22 15:00:24+00 Health theguardian.com β€˜You lose yourself’: inside the mental health crisis hitting gen X women Analyze Anita Chaudhuri 😐 neutral 0.0413
2026-03-10 12:52:54+00 Science ls.berkeley.edu Traditional Pacific navigators bring the intricate science of Analyze Letters & Science 😐 neutral 0.1482
2026-03-07 06:00:42+00 Entertainment theguardian.com From The Bride! to Harry Styles: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1214
2026-03-02 17:47:06+00 Politics usatoday.com Emma Bloomberg could've done anything. She chose to help the underdogs Analyze Wendy Naugle 😐 neutral 0.1873