Text & Content Analysis

Context: entity (canadian)  |  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
canadian
Window
Last 7 days
Articles
4
From
2026-09-05 05:35:00+00
To
2026-09-09 13:29:02+00
Range
2026-09-05 03:39:50.120161+00 β†’ 2026-09-12 03:39:50.120161+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4400 πŸ“Š 🧲
Political Theatre 1.1300 πŸ“Š 🧲
Business, Companies 0.5500 πŸ“Š 🧲
Environment, Climate 0.4100 πŸ“Š 🧲
Civil Unrest, Conflict 0.2900 πŸ“Š 🧲
Entertainment 0.0600 πŸ“Š 🧲
Friends and Family 0.0500 πŸ“Š 🧲
Technology 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
2026-09-09 13:29:02+00 Politics theconversation.com Place-name politics: Why renaming streets named Trump requires more than just outrage Analyze Reuben Rose-Redwood 😐 neutral 0.0686
2026-09-09 10:32:52+00 Politics theguardian.com Trump center stage at RNC in midterms gamble Analyze https://www.theguardian.com/profile/tom-ambrose 😐 neutral 0.0976
2026-09-08 21:40:35+00 Politics nbcnews.com What to watch in New Hampshire tonight: From the Politics Desk Analyze The Politics Desk 😐 neutral 0.1268
2026-09-05 05:35:00+00 Politics theweek.com The impact of Trump’s crusade against Canada Analyze https://theweek.com/author/the-week-uk 😐 neutral 0.1467