Text & Content Analysis

Context: entity (bbc tue)  |  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
bbc tue
Window
Last 30 days
Articles
2
From
Tue, Sep 8 β€’ 10:31 AM EDT
To
Tue, Sep 22 β€’ 3:55 AM EDT
Range
Sun, Aug 23 β€’ 11:06 AM EDT β†’ Tue, Sep 22 β€’ 11:06 AM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
bbc tue PERSON 2 πŸ“Š πŸ” 🧲
bbc ORG 1 πŸ“Š πŸ” 🧲
mac allisters PERSON 1 πŸ“Š πŸ” 🧲
steur PERSON 1 πŸ“Š πŸ” 🧲
story by WORK_OF_ART 1 πŸ“Š πŸ” 🧲
utc ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
sports.yahoo.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 1.3100 πŸ“Š 🧲
Government 0.2600 πŸ“Š 🧲
Technology 0.2000 πŸ“Š 🧲
Civil Unrest, Conflict 0.1500 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
πŸ™‚ Positive 1 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-22 07:55:19+00 Sports sports.yahoo.com Steur has 'huge future in the game' Analyze BBC 😐 neutral 0.0
2026-09-08 14:31:41+00 Sports sports.yahoo.com Mac Allister's candid comments a surprise so early in season Analyze BBC πŸ™‚ positive 0.35