Text & Content Analysis

Context: entity (gopal vijayaraghavan)  |  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
gopal vijayaraghavan
Window
Last 30 days
Articles
1
From
2026-02-26 05:13:00+00
To
2026-02-26 05:13:00+00
Range
2026-02-25 16:09:26.423489+00 β†’ 2026-03-27 16:09:26.423489+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
fda ORG 1 πŸ“Š πŸ” 🧲
gopal vijayaraghavan PERSON 1 πŸ“Š πŸ” 🧲
hayley mignacca PERSON 1 πŸ“Š πŸ” 🧲
md GPE 1 πŸ“Š πŸ” 🧲
mohammed salman shazeeb PERSON 1 πŸ“Š πŸ” 🧲
mph ORG 1 πŸ“Š πŸ” 🧲
phd WORK_OF_ART 1 πŸ“Š πŸ” 🧲
sara schiller PERSON 1 πŸ“Š πŸ” 🧲
science for living can using WORK_OF_ART 1 πŸ“Š πŸ” 🧲
shazeeb PERSON 1 πŸ“Š πŸ” 🧲
shutterstock artificial ORG 1 πŸ“Š πŸ” 🧲
umass chan medical school ORG 1 πŸ“Š πŸ” 🧲
vijayaraghavan PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.4000 πŸ“Š 🧲
Health 0.3800 πŸ“Š 🧲
Business, Companies 0.1900 πŸ“Š 🧲
Government 0.0200 πŸ“Š 🧲
Friends and Family 0.0100 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
2026-02-26 05:13:00+00 Science umassmed.edu Science for Living: Can using AI risk prediction in breast cancer screening improve early detection? Analyze Hayley Mignacca 😐 neutral 0.0867