Text & Content Analysis

Context: entity (leicester)  |  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
leicester
Window
Last 30 days
Articles
2
From
2026-03-04 09:06:22+00
To
2026-03-06 19:40:52+00
Range
2026-02-27 22:28:19.397773+00 β†’ 2026-03-29 22:28:19.397773+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
newsday.com 1 50.00 πŸ“Š πŸ“° 🧲
sports.yahoo.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.5700 πŸ“Š 🧲
Friends and Family 0.3700 πŸ“Š 🧲
Civil Unrest, Conflict 0.3100 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Political Theatre 0.2300 πŸ“Š 🧲
Food and Beverage 0.1000 πŸ“Š 🧲
Entertainment 0.0500 πŸ“Š 🧲
Environment, Climate 0.0500 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
2026-03-06 19:40:52+00 Politics newsday.com Messi has long steered clear of politics. Does his visit to Trump's White House mark a change? Analyze The Associated Press 😐 neutral 0.0896
2026-03-04 09:06:22+00 Sports sports.yahoo.com Fulham v West Ham: Key stats and talking points Analyze Noel Sliney - BBC Sport senior journalist 😐 neutral 0.0655