Text & Content Analysis

Context: entity (published 1)  |  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

Entity
published 1
Window
Last 7 days
Articles
1
From
2026-04-16 06:54:58+00
To
2026-04-16 06:54:58+00
Range
2026-04-12 20:27:42.646278+00 β†’ 2026-04-19 20:27:42.646278+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
about 6 PERCENT 1 πŸ“Š πŸ” 🧲
bbc ORG 1 πŸ“Š πŸ” 🧲
comments WORK_OF_ART 1 πŸ“Š πŸ” 🧲
fa cup EVENT 1 πŸ“Š πŸ” 🧲
joe rindl PERSON 1 πŸ“Š πŸ” 🧲
masters ORG 1 πŸ“Š πŸ” 🧲
premier league ORG 1 πŸ“Š πŸ” 🧲
published 1 PERSON 1 πŸ“Š πŸ” 🧲
sports quizzes ORG 1 πŸ“Š πŸ” 🧲
womens league cup ORG 1 πŸ“Š πŸ” 🧲
wsl ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.7500 πŸ“Š 🧲
Friends and Family 0.1900 πŸ“Š 🧲
Health 0.0600 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
2026-04-16 06:54:58+00 Sports bbc.com BBC Sport weekly quiz: How much money does the Masters winner get? Analyze https://www.facebook.com/BBCSport/ 😐 neutral 0.1596