Text & Content Analysis

Context: entity (justin trudeau)  |  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
justin trudeau
Window
Last 30 days
Articles
2
From
2026-04-12 14:27:07+00
To
2026-04-26 23:04:20+00
Range
2026-04-02 00:43:46.831404+00 β†’ 2026-05-02 00:43:46.831404+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4300 πŸ“Š 🧲
Technology 0.3900 πŸ“Š 🧲
Government 0.3200 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Political Theatre 0.1900 πŸ“Š 🧲
Food and Beverage 0.1700 πŸ“Š 🧲
Health 0.1000 πŸ“Š 🧲
Friends and Family 0.0600 πŸ“Š 🧲
Other 0.0400 β€”
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
2026-04-26 23:04:20+00 Politics bbc.com Canada's Carney has enjoyed a long political honeymoon. Now comes the test Analyze bbc.com 😐 neutral 0.1194
2026-04-12 14:27:07+00 Health nypost.com New research turns everything we thought we knew about yo-yo dieting on its head Analyze Rachel Sacks 😐 neutral 0.0309