Text & Content Analysis

Context: entity (disease x journey)  |  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
disease x journey
Window
Last 24h
Articles
1
From
Fri, Sep 25 β€’ 6:15 AM EDT
To
Fri, Sep 25 β€’ 6:15 AM EDT
Range
Thu, Sep 24 β€’ 7:33 PM EDT β†’ Fri, Sep 25 β€’ 7:33 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
856 million MONEY 1 πŸ“Š πŸ” 🧲
ai technically ORG 1 πŸ“Š πŸ” 🧲
ben burch PERSON 1 πŸ“Š πŸ” 🧲
castillo ORG 1 πŸ“Š πŸ” 🧲
disease x journey PERSON 1 πŸ“Š πŸ” 🧲
duke university ORG 1 πŸ“Š πŸ” 🧲
duke university medical center a ORG 1 πŸ“Š πŸ” 🧲
durham GPE 1 πŸ“Š πŸ” 🧲
each week DATE 1 πŸ“Š πŸ” 🧲
english LANGUAGE 1 πŸ“Š πŸ” 🧲
erik troan PERSON 1 πŸ“Š πŸ” 🧲
health health tech ORG 1 πŸ“Š πŸ” 🧲
hispanic NORP 1 πŸ“Š πŸ” 🧲
immigration and customs enforcement ORG 1 πŸ“Š πŸ” 🧲
latino PERSON 1 πŸ“Š πŸ” 🧲
medicaid ORG 1 πŸ“Š πŸ” 🧲
nc GPE 1 πŸ“Š πŸ” 🧲
north carolina GPE 1 πŸ“Š πŸ” 🧲
north carolinas GPE 1 πŸ“Š πŸ” 🧲
paypal ORG 1 πŸ“Š πŸ” 🧲
related news PERSON 1 πŸ“Š πŸ” 🧲
spanish LANGUAGE 1 πŸ“Š πŸ” 🧲
steve castillo PERSON 1 πŸ“Š πŸ” 🧲
technically ORG 1 πŸ“Š πŸ” 🧲
triangle ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.5000 πŸ“Š 🧲
Government 0.3100 πŸ“Š 🧲
Business, Companies 0.1000 πŸ“Š 🧲
Health 0.0900 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
2026-09-25 10:15:00+00 Health technical.ly To improve chronic care, this Durham startup tracks life outside the doctor's office Analyze Kaela Roeder 😐 neutral 0.1146