Text & Content Analysis

Context: entity (switch 2)  |  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
switch 2
Window
Last 30 days
Articles
2
From
2026-07-04 17:10:00+00
To
2026-07-11 05:00:42+00
Range
2026-06-25 01:58:22.811951+00 β†’ 2026-07-25 01:58:22.811951+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
newser.com 1 50.00 πŸ“Š πŸ“° 🧲
theguardian.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8900 πŸ“Š 🧲
Entertainment 0.3000 πŸ“Š 🧲
Government 0.2800 πŸ“Š 🧲
Technology 0.2800 πŸ“Š 🧲
Environment, Climate 0.1800 πŸ“Š 🧲
Friends and Family 0.0500 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
2026-07-11 05:00:42+00 Entertainment theguardian.com From Moana to Suki Waterhouse: your complete entertainment guide to the week ahead Analyze Guardian staff reporter 😐 neutral 0.1097
2026-07-04 17:10:00+00 Technology newser.com Why Video Games Cost So Much More Now Analyze Jenn Gidman 😐 neutral 0.0922