Text & Content Analysis

Context: entity (london marathon)  |  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
london marathon
Window
Last 7 days
Articles
1
From
2026-04-26 05:15:27+00
To
2026-04-26 05:15:27+00
Range
2026-04-24 19:43:40.82954+00 β†’ 2026-05-01 19:43:40.82954+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
bbc ORG 1 πŸ“Š πŸ” 🧲
chelsea PERSON 1 πŸ“Š πŸ” 🧲
fa cup EVENT 1 πŸ“Š πŸ” 🧲
flora snelson PERSON 1 πŸ“Š πŸ” 🧲
joe rindl PERSON 1 πŸ“Š πŸ” 🧲
london marathon PERSON 1 πŸ“Š πŸ” 🧲
published 51 PERSON 1 πŸ“Š πŸ” 🧲
quiz PERSON 1 πŸ“Š πŸ” 🧲
sports quizzes 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 0.8600 πŸ“Š 🧲
Friends and Family 0.0700 πŸ“Š 🧲
Environment, Climate 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
2026-04-26 05:15:27+00 Sports bbc.com London Marathon sports quiz: How much money was raised? How many runners compete? Analyze https://www.facebook.com/BBCSport/ 😐 neutral 0.25