Text & Content Analysis

Context: entity (bermuda triangle)  |  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
bermuda triangle
Window
Last 30 days
Articles
1
From
Thu, Sep 24 β€’ 9:27 AM EDT
To
Thu, Sep 24 β€’ 9:27 AM EDT
Range
Mon, Aug 31 β€’ 4:32 PM EDT β†’ Wed, Sep 30 β€’ 4:32 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
bbc sport prudent nsengiyumva bbc sport ORG 1 πŸ“Š πŸ” 🧲
bermuda triangle WORK_OF_ART 1 πŸ“Š πŸ” 🧲
bournemouth NORP 1 πŸ“Š πŸ” 🧲
brentford GPE 1 πŸ“Š πŸ” 🧲
brighton PERSON 1 πŸ“Š πŸ” 🧲
utc ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
sports.yahoo.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.4500 πŸ“Š 🧲
Technology 0.3900 πŸ“Š 🧲
Friends and Family 0.1300 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
2026-09-24 13:27:44+00 Sports sports.yahoo.com Is this really the Premier League's 'Bermuda Triangle'? Analyze Prudent Nsengiyumva - BBC Sport journalist 😐 neutral 0.1333