Text & Content Analysis

Context: entity (farrugia)  |  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
farrugia
Window
Last 30 days
Articles
1
From
2026-06-02 18:30:08+00
To
2026-06-02 18:30:08+00
Range
2026-05-17 01:02:52.288209+00 β†’ 2026-06-16 01:02:52.288209+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
ai health coach WORK_OF_ART 1 πŸ“Š πŸ” 🧲
ai tech ORG 1 πŸ“Š πŸ” 🧲
apple ORG 1 πŸ“Š πŸ” 🧲
cnn ORG 1 πŸ“Š πŸ” 🧲
copilot GPE 1 πŸ“Š πŸ” 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 πŸ“Š πŸ” 🧲
farrugia PERSON 1 πŸ“Š πŸ” 🧲
gianrico farrugia PERSON 1 πŸ“Š πŸ” 🧲
google PERSON 1 πŸ“Š πŸ” 🧲
google health googles ORG 1 πŸ“Š πŸ” 🧲
mayo clinic ORG 1 πŸ“Š πŸ” 🧲
mayo clinics ORG 1 πŸ“Š πŸ” 🧲
michael nagle PERSON 1 πŸ“Š πŸ” 🧲
microsoft ORG 1 πŸ“Š πŸ” 🧲
mustafa suleyman PERSON 1 πŸ“Š πŸ” 🧲
new york GPE 1 πŸ“Š πŸ” 🧲
openai GPE 1 πŸ“Š πŸ” 🧲
silicon valley LOC 1 πŸ“Š πŸ” 🧲
suleyman PERSON 1 πŸ“Š πŸ” 🧲
tens of millions MONEY 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.4300 πŸ“Š 🧲
Business, Companies 0.3200 πŸ“Š 🧲
Health 0.1900 πŸ“Š 🧲
Government 0.0600 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
2026-06-02 18:30:08+00 Health cnn.com People are flooding AI chatbots with health questions. Microsoft is teaming up with Mayo Clinic to help Analyze Clare Duffy 😐 neutral 0.1795