Text & Content Analysis

Context: pub (afp.com)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 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

Publisher
afp.com
Window
Last 24h
Articles
1
From
Sun, Oct 4 β€’ 8:48 PM EDT
To
Sun, Oct 4 β€’ 8:48 PM EDT
Range
Sun, Oct 4 β€’ 2:41 AM EDT β†’ Mon, Oct 5 β€’ 2:41 AM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
afp.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.2600 πŸ“Š 🧲
Government 0.2100 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Political Theatre 0.1500 πŸ“Š 🧲
Civil Unrest, Conflict 0.1400 πŸ“Š 🧲
Environment, Climate 0.0500 πŸ“Š 🧲
Entertainment 0.0300 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-10-05 00:48:36+00 Politics afp.com Lula, Brazil's political titan, races against time Analyze @AFPFR 😐 neutral 0.08