Text & Content Analysis

Context: entity (diageo)  |  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
diageo
Window
Last 30 days
Articles
1
From
2026-07-06 15:40:39+00
To
2026-07-06 15:40:39+00
Range
2026-06-06 23:05:31.582353+00 β†’ 2026-07-06 23:05:31.582353+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
alice parmiter PERSON 1 πŸ“Š πŸ” 🧲
asos ORG 1 πŸ“Š πŸ” 🧲
att PERSON 1 πŸ“Š πŸ” 🧲
british airways ORG 1 πŸ“Š πŸ” 🧲
casa maestri PERSON 1 πŸ“Š πŸ” 🧲
covid PERSON 1 πŸ“Š πŸ” 🧲
cucumber and grapefruit WORK_OF_ART 1 πŸ“Š πŸ” 🧲
diageo PERSON 1 πŸ“Š πŸ” 🧲
distill ventures ORG 1 πŸ“Š πŸ” 🧲
editorial standards reprints permissions loading video player ORG 1 πŸ“Š πŸ” 🧲
female founders PERSON 1 πŸ“Š πŸ” 🧲
five years later DATE 1 πŸ“Š πŸ” 🧲
forbes ORG 1 πŸ“Š πŸ” 🧲
gatwick GPE 1 πŸ“Š πŸ” 🧲
heathrow FAC 1 πŸ“Š πŸ” 🧲
john lewis PERSON 1 πŸ“Š πŸ” 🧲
karo PERSON 1 πŸ“Š πŸ” 🧲
lela PERSON 1 πŸ“Š πŸ” 🧲
lela london PERSON 1 πŸ“Š πŸ” 🧲
lifestyle dining how pimentae PERSON 1 πŸ“Š πŸ” 🧲
london GPE 1 πŸ“Š πŸ” 🧲
london luton PERSON 1 πŸ“Š πŸ” 🧲
manchester airport FAC 1 πŸ“Š πŸ” 🧲
mexican NORP 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.5300 πŸ“Š 🧲
Technology 0.1300 πŸ“Š 🧲
Food and Beverage 0.1100 πŸ“Š 🧲
Government 0.1100 πŸ“Š 🧲
Environment, Climate 0.1000 πŸ“Š 🧲
Friends and Family 0.0200 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
2026-07-06 15:40:39+00 Business forbes.com How Pimentae’s Female Founders Turned Mini Margaritas Into Big Business Analyze Lela London 😐 neutral 0.1242