Text & Content Analysis

Context: entity (toronto)  |  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
toronto
Window
Last 7 days
Articles
4
From
Thu, Sep 17 β€’ 1:35 PM EDT
To
Tue, Sep 22 β€’ 3:16 AM EDT
Range
Wed, Sep 16 β€’ 11:32 AM EDT β†’ Wed, Sep 23 β€’ 11:32 AM EDT
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 1.1900 πŸ“Š 🧲
Business, Companies 1.0000 πŸ“Š 🧲
Government 0.4800 πŸ“Š 🧲
Entertainment 0.4200 πŸ“Š 🧲
Civil Unrest, Conflict 0.4100 πŸ“Š 🧲
Political Theatre 0.3000 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Friends and Family 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲
☹️ Negative 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-22 07:16:46+00 Entertainment bostonherald.com All-clown β€˜Godspell’ with comedy stars? β€˜You Had to Be There’ Analyze Stephen Schaefer 😐 neutral 0.1697
2026-09-21 16:51:09+00 Politics coloradopolitics.com Trump shattered Canada’s old US relationship. Carney is building a new one in Europe Analyze The Associated Press 😐 neutral 0.0362
2026-09-19 17:43:42+00 Business detroitnews.com Great Lakes bind U.S., Canada trade imperiled by Trump tariffs Analyze Brendan Murray 😐 neutral 0.1218
2026-09-17 17:35:15+00 Sports sports.yahoo.com Thursday Jays Notes Analyze tom dakers ☹️ negative -0.0429