Text & Content Analysis

Context: entity (audra burns)  |  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
audra burns
Window
Last 30 days
Articles
1
From
2026-09-15 21:37:20+00
To
2026-09-15 21:37:20+00
Range
2026-08-17 23:29:20.640796+00 β†’ 2026-09-16 23:29:20.640796+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
fiscal year DATE 1 πŸ“Š πŸ” 🧲
168 million MONEY 1 πŸ“Š πŸ” 🧲
635 million MONEY 1 πŸ“Š πŸ” 🧲
about 40 PERCENT 1 πŸ“Š πŸ” 🧲
alison kapadia PERSON 1 πŸ“Š πŸ” 🧲
annie mackin PERSON 1 πŸ“Š πŸ” 🧲
audra burns PERSON 1 πŸ“Š πŸ” 🧲
bennington GPE 1 πŸ“Š πŸ” 🧲
berlin GPE 1 πŸ“Š πŸ” 🧲
central vermont medical center ORG 1 πŸ“Š πŸ” 🧲
dartmouth health ORG 1 πŸ“Š πŸ” 🧲
dartmouth health hundreds ORG 1 πŸ“Š πŸ” 🧲
dartmouth healths ORG 1 πŸ“Š πŸ” 🧲
dartmouth hitchcock medical center ORG 1 πŸ“Š πŸ” 🧲
dartmouth hitchcocks ORG 1 πŸ“Š πŸ” 🧲
daryl holthoff PERSON 1 πŸ“Š πŸ” 🧲
earlier this year DATE 1 πŸ“Š πŸ” 🧲
fall member drive ORG 1 πŸ“Š πŸ” 🧲
health professionals support staff united ORG 1 πŸ“Š πŸ” 🧲
helen porter rehabilitation nursing ORG 1 πŸ“Š πŸ” 🧲
hundreds CARDINAL 1 πŸ“Š πŸ” 🧲
joanne conroy PERSON 1 πŸ“Š πŸ” 🧲
lebanon GPE 1 πŸ“Š πŸ” 🧲
leffler PERSON 1 πŸ“Š πŸ” 🧲
mackin ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4900 πŸ“Š 🧲
Health 0.2300 πŸ“Š 🧲
Technology 0.1900 πŸ“Š 🧲
Environment, Climate 0.0700 πŸ“Š 🧲
Business, Companies 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
2026-09-15 21:37:20+00 Health vtdigger.org Hundreds of layoffs announced at the two largest healthcare networks Vermonters rely on Analyze Olivia Gieger 😐 neutral 0.079