Text & Content Analysis

Context: entity (ap wire france politics)  |  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
ap wire france politics
Window
Last 30 days
Articles
1
From
2026-05-26 11:14:27+00
To
2026-05-26 11:14:27+00
Range
2026-05-14 06:49:21.383336+00 β†’ 2026-06-13 06:49:21.383336+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
a decade DATE 1 πŸ“Š πŸ” 🧲
ap wire france politics ORG 1 πŸ“Š πŸ” 🧲
dayton ORG 1 πŸ“Š πŸ” 🧲
dayton va GPE 1 πŸ“Š πŸ” 🧲
email print copy PERSON 1 πŸ“Š πŸ” 🧲
emmanuel macron PERSON 1 πŸ“Š πŸ” 🧲
facebook twitter PERSON 1 πŸ“Š πŸ” 🧲
france GPE 1 πŸ“Š πŸ” 🧲
french NORP 1 πŸ“Š πŸ” 🧲
local for PERSON 1 πŸ“Š πŸ” 🧲
local springfield PERSON 1 πŸ“Š πŸ” 🧲
paris GPE 1 πŸ“Š πŸ” 🧲
save latest regional news local news ORG 1 πŸ“Š πŸ” 🧲
springfield GPE 1 πŸ“Š πŸ” 🧲
tom nicholson pool PERSON 1 πŸ“Š πŸ” 🧲
tom nicholson pool reuters PERSON 1 πŸ“Š πŸ” 🧲
ud sinclair academy ORG 1 πŸ“Š πŸ” 🧲
whatsapp PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Civil Unrest, Conflict 0.3400 πŸ“Š 🧲
Government 0.2500 πŸ“Š 🧲
Friends and Family 0.1600 πŸ“Š 🧲
Business, Companies 0.1400 πŸ“Š 🧲
Technology 0.0600 πŸ“Š 🧲
Political Theatre 0.0500 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
2026-05-26 11:14:27+00 Politics springfieldnewssun.com France Politics Analyze Tom Nicholson - Pool Reuters 😐 neutral 0.0911