Text & Content Analysis

Context: entity (arvind venkat)  |  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
arvind venkat
Window
Last 30 days
Articles
1
From
2026-03-06 10:30:00+00
To
2026-03-06 10:30:00+00
Range
2026-02-08 15:57:57.998398+00 β†’ 2026-03-10 15:57:57.998398+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
5 billion MONEY 1 πŸ“Š πŸ” 🧲
allegheny landing GPE 1 πŸ“Š πŸ” 🧲
allegheny landing park FAC 1 πŸ“Š πŸ” 🧲
americans NORP 1 πŸ“Š πŸ” 🧲
arvind venkat PERSON 1 πŸ“Š πŸ” 🧲
berg PERSON 1 πŸ“Š πŸ” 🧲
blue ridge institute for medical research ORG 1 πŸ“Š πŸ” 🧲
carnegie mellon university ORG 1 πŸ“Š πŸ” 🧲
carrie mcdonough PERSON 1 πŸ“Š πŸ” 🧲
carson folio published PERSON 1 πŸ“Š πŸ” 🧲
colette delawalla PERSON 1 πŸ“Š πŸ” 🧲
health science tech pittsburgh ORG 1 πŸ“Š πŸ” 🧲
jeremy berg PERSON 1 πŸ“Š πŸ” 🧲
katie blackley PERSON 1 πŸ“Š πŸ” 🧲
mcdonough PERSON 1 πŸ“Š πŸ” 🧲
nigms ORG 1 πŸ“Š πŸ” 🧲
nih ORG 1 πŸ“Š πŸ” 🧲
north carolina GPE 1 πŸ“Š πŸ” 🧲
pittsburgh GPE 1 πŸ“Š πŸ” 🧲
rachel levine PERSON 1 πŸ“Š πŸ” 🧲
science ORG 1 πŸ“Š πŸ” 🧲
sufs ORG 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
wesa ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.3300 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Business, Companies 0.1200 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Political Theatre 0.0400 πŸ“Š 🧲
Health 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
2026-03-06 10:30:00+00 Science wesa.fm Pittsburgh 'Stand Up for Science' rally to bring attention to impacts of immigration crackdowns Analyze Carson Folio 😐 neutral 0.0588