Text & Content Analysis

Context: entity (sutton)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
sutton
Window
Last 30 days
Articles
3
From
2026-04-14 12:28:32+00
To
2026-05-02 07:02:58+00
Range
2026-04-03 00:18:46.497526+00 β†’ 2026-05-03 00:18:46.497526+00
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8400 πŸ“Š 🧲
Government 0.6800 πŸ“Š 🧲
Civil Unrest, Conflict 0.5700 πŸ“Š 🧲
Environment, Climate 0.5500 πŸ“Š 🧲
Technology 0.1500 πŸ“Š 🧲
Political Theatre 0.1200 πŸ“Š 🧲
Friends and Family 0.0600 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 3 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-05-02 07:02:58+00 Sports sports.yahoo.com Sutton's predictions: Wolves v Sunderland Analyze BBC 😐 neutral 0.069
2026-05-01 06:09:47+00 Politics bbc.com Nick Robinson: Labour's London squeeze exposes a fragmented British politics Analyze bbc.com 😐 neutral 0.0775
2026-04-14 12:28:32+00 Business thevalleyecho.com Local business owner to run for Black Mountain Town Council Analyze Fred McCormick 😐 neutral 0.0007