Text & Content Analysis

Context: entity (local dayton va)  |  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
local dayton va
Window
Last 30 days
Articles
1
From
2026-05-27 08:13:02+00
To
2026-05-27 08:13:02+00
Range
2026-05-15 12:53:19.983129+00 β†’ 2026-06-14 12:53:19.983129+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
a decade DATE 1 πŸ“Š πŸ” 🧲
ap wire germany politics ORG 1 πŸ“Š πŸ” 🧲
berlin GPE 1 πŸ“Š πŸ” 🧲
butler GPE 1 πŸ“Š πŸ” 🧲
dayton ORG 1 πŸ“Š πŸ” 🧲
email print copy PERSON 1 πŸ“Š πŸ” 🧲
facebook twitter PERSON 1 πŸ“Š πŸ” 🧲
friedrich merz PERSON 1 πŸ“Š πŸ” 🧲
germany GPE 1 πŸ“Š πŸ” 🧲
local dayton va PERSON 1 πŸ“Š πŸ” 🧲
local news ORG 1 πŸ“Š πŸ” 🧲
markus schreiber ap PERSON 1 πŸ“Š πŸ” 🧲
markus schreiber ap facebook twitter PERSON 1 πŸ“Š πŸ” 🧲
may 27 2026 43 DATE 1 πŸ“Š πŸ” 🧲
save german NORP 1 πŸ“Š πŸ” 🧲
save latest regional news local franklins ORG 1 πŸ“Š πŸ” 🧲
ud sinclair academy ORG 1 πŸ“Š πŸ” 🧲
va ORG 1 πŸ“Š πŸ” 🧲
warren GPE 1 πŸ“Š πŸ” 🧲
whatsapp PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.3900 πŸ“Š 🧲
Government 0.2500 πŸ“Š 🧲
Technology 0.2100 πŸ“Š 🧲
Business, Companies 0.1400 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
2026-05-27 08:13:02+00 Politics journal-news.com Germany Politics Analyze Markus Schreiber - AP 😐 neutral 0.1667