Text & Content Analysis

Context: pub (newsinteractive.post-gazette.com)  |  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

Publisher
newsinteractive.post-gazette.com
Window
Last 24h
Articles
1
From
2026-04-19 08:00:00+00
To
2026-04-19 08:00:00+00
Range
2026-04-19 04:54:36.46848+00 β†’ 2026-04-20 04:54:36.46848+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
134 million MONEY 1 πŸ“Š πŸ” 🧲
20 million MONEY 1 πŸ“Š πŸ” 🧲
alexandra wimley PERSON 1 πŸ“Š πŸ” 🧲
allegheny GPE 1 πŸ“Š πŸ” 🧲
burke PERSON 1 πŸ“Š πŸ” 🧲
california GPE 1 πŸ“Š πŸ” 🧲
canada GPE 1 πŸ“Š πŸ” 🧲
canonsburg GPE 1 πŸ“Š πŸ” 🧲
covid PERSON 1 πŸ“Š πŸ” 🧲
disneyland FAC 1 πŸ“Š πŸ” 🧲
donald burke PERSON 1 πŸ“Š πŸ” 🧲
ed yozwick development PERSON 1 πŸ“Š πŸ” 🧲
epistemix ORG 1 πŸ“Š πŸ” 🧲
florida GPE 1 πŸ“Š πŸ” 🧲
framework for reconstructing epidemiological dynamics ORG 1 πŸ“Š πŸ” 🧲
fred PERSON 1 πŸ“Š πŸ” 🧲
fred rogers PERSON 1 πŸ“Š πŸ” 🧲
houston GPE 1 πŸ“Š πŸ” 🧲
indianapolis GPE 1 πŸ“Š πŸ” 🧲
john cordier PERSON 1 πŸ“Š πŸ” 🧲
john grefenstette PERSON 1 πŸ“Š πŸ” 🧲
johns hopkins university ORG 1 πŸ“Š πŸ” 🧲
karen liller PERSON 1 πŸ“Š πŸ” 🧲
krauland GPE 1 πŸ“Š πŸ” 🧲
laura malt PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
newsinteractive.post-gazette.com 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Health 0.2700 πŸ“Š 🧲
Government 0.2600 πŸ“Š 🧲
Technology 0.2100 πŸ“Š 🧲
Business, Companies 0.1000 πŸ“Š 🧲
Friends and Family 0.0900 πŸ“Š 🧲
Environment, Climate 0.0700 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
2026-04-19 08:00:00+00 Health newsinteractive.post-gazette.com University of Pittsburgh team's FRED model tracks measles Analyze @pittsburghpg 😐 neutral 0.0947