Text & Content Analysis

Context: entity (lindsey belsky)  |  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
lindsey belsky
Window
Last 7 days
Articles
1
From
2026-09-03 01:46:35+00
To
2026-09-03 01:46:35+00
Range
2026-08-27 08:44:19.600368+00 β†’ 2026-09-03 08:44:19.600368+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
android sign up PERSON 1 πŸ“Š πŸ” 🧲
annette boesen PERSON 1 πŸ“Š πŸ” 🧲
apple ORG 1 πŸ“Š πŸ” 🧲
bakersfield GPE 1 πŸ“Š πŸ” 🧲
bakersfield sevita health ORG 1 πŸ“Š πŸ” 🧲
boesen PERSON 1 πŸ“Š πŸ” 🧲
calif GPE 1 πŸ“Š πŸ” 🧲
hayley holguin PERSON 1 πŸ“Š πŸ” 🧲
holguin PERSON 1 πŸ“Š πŸ” 🧲
instagram subscribe PERSON 1 πŸ“Š πŸ” 🧲
kern regional center ORG 1 πŸ“Š πŸ” 🧲
kero ORG 1 πŸ“Š πŸ” 🧲
krc ORG 1 πŸ“Š πŸ” 🧲
lindsey belsky PERSON 1 πŸ“Š πŸ” 🧲
melissa patricio WORK_OF_ART 1 πŸ“Š πŸ” 🧲
newsletter ORG 1 πŸ“Š πŸ” 🧲
sevita health ORG 1 πŸ“Š πŸ” 🧲
southwest bakersfield PERSON 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
youtube give a book donation page ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
turnto23.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.4000 πŸ“Š 🧲
Government 0.2000 πŸ“Š 🧲
Health 0.1900 πŸ“Š 🧲
Civil Unrest, Conflict 0.1200 πŸ“Š 🧲
Business, Companies 0.1000 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
2026-09-03 01:46:35+00 Health turnto23.com Former caregivers raise alarms about staffing, resident safety at Bakersfield Sevita Health home Analyze Lindsey Belsky 😐 neutral 0.0133