Text & Content Analysis

Context: entity (aprilia)  |  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
aprilia
Window
Last 30 days
Articles
2
From
2026-05-04 07:09:27+00
To
2026-05-11 08:32:14+00
Range
2026-04-13 05:59:31.957583+00 β†’ 2026-05-13 05:59:31.957583+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
sports.yahoo.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.7600 πŸ“Š 🧲
Environment, Climate 0.3900 πŸ“Š 🧲
Government 0.3600 πŸ“Š 🧲
Technology 0.1600 πŸ“Š 🧲
Entertainment 0.1100 πŸ“Š 🧲
Friends and Family 0.1000 πŸ“Š 🧲
Political Theatre 0.0700 πŸ“Š 🧲
Civil Unrest, Conflict 0.0600 πŸ“Š 🧲
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
2026-05-11 08:32:14+00 Sports sports.yahoo.com Winners and losers from MotoGP’s dramatic French Grand Prix Analyze Rachit Thukral 😐 neutral 0.1186
2026-05-04 07:09:27+00 Sports sports.yahoo.com Five talking points for the 2026 North West 200 Analyze Richard Petrie - BBC Sport NI Journalist 😐 neutral 0.1741