Text & Content Analysis

Context: entity (makerfield)  |  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
makerfield
Window
Last 24h
Articles
2
From
2026-05-15 18:00:04+00
To
2026-05-15 20:21:08+00
Range
2026-05-15 03:58:01.769638+00 β†’ 2026-05-16 03:58:01.769638+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 1 50.00 πŸ“Š πŸ“° 🧲
theweek.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.6000 πŸ“Š 🧲
Civil Unrest, Conflict 0.5800 πŸ“Š 🧲
Political Theatre 0.3000 πŸ“Š 🧲
Government 0.1600 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Food and Beverage 0.1000 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Entertainment 0.0200 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
2026-05-15 20:21:08+00 Politics bbc.com How Rayner, Streeting and Burnham weakened PM in 12 hours of political drama Analyze bbc.com 😐 neutral 0.1345
2026-05-15 18:00:04+00 Politics theweek.com β€˜Each feminist advance in American public life has prompted an equally strong backlash’ Analyze https://theweek.com/author/justin-klawans 😐 neutral 0.2066