Text & Content Analysis

Context: entity (kpmg)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
kpmg
Window
Last 30 days
Articles
3
From
2026-03-09 00:01:33+00
To
2026-03-29 04:03:59+00
Range
2026-02-27 15:25:35.318965+00 β†’ 2026-03-29 15:25:35.318965+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 2 66.67 πŸ“Š πŸ“° 🧲
theguardian.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.2600 πŸ“Š 🧲
Environment, Climate 0.5600 πŸ“Š 🧲
Technology 0.4700 πŸ“Š 🧲
Business, Companies 0.3300 πŸ“Š 🧲
Civil Unrest, Conflict 0.2700 πŸ“Š 🧲
Political Theatre 0.1100 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-29 04:03:59+00 Business cnn.com Behind the lobster merch, China’s latest tech obsession could be a game changer Analyze CNN 😐 neutral 0.0937
2026-03-10 11:00:34+00 Business cnn.com How the Middle East war could spark a recession Analyze Matt Egan 😐 neutral 0.0452
2026-03-09 00:01:33+00 Business theguardian.com Britain’s job market β€˜floundering’ as companies remain cautious about hiring Analyze Tom Knowles 😐 neutral 0.0498