Text & Content Analysis

Context: entity (lee kemp)  |  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
lee kemp
Window
Last 30 days
Articles
1
From
2026-06-11 21:54:34+00
To
2026-06-11 21:54:34+00
Range
2026-05-14 22:43:11.895468+00 β†’ 2026-06-13 22:43:11.895468+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
PERSON 1 πŸ“Š πŸ” 🧲
carl geffken PERSON 1 πŸ“Š πŸ” 🧲
cba ORG 1 πŸ“Š πŸ” 🧲
cba managing partner ORG 1 πŸ“Š πŸ” 🧲
city NORP 1 πŸ“Š πŸ” 🧲
colin baenziger associates ORG 1 πŸ“Š πŸ” 🧲
daytona beach shores PERSON 1 πŸ“Š πŸ” 🧲
email PERSON 1 πŸ“Š πŸ” 🧲
eric garvin PERSON 1 πŸ“Š πŸ” 🧲
facebook share on x opens WORK_OF_ART 1 πŸ“Š πŸ” 🧲
fort smith GPE 1 πŸ“Š πŸ” 🧲
fort smithΓ’s FAC 1 πŸ“Š πŸ” 🧲
g scott krim PERSON 1 πŸ“Š πŸ” 🧲
geffken PERSON 1 πŸ“Š πŸ” 🧲
geffkenΓ’s PERSON 1 πŸ“Š πŸ” 🧲
george mcgill PERSON 1 πŸ“Š πŸ” 🧲
google ORG 1 πŸ“Š πŸ” 🧲
jeff dingman PERSON 1 πŸ“Š πŸ” 🧲
kemp PERSON 1 πŸ“Š πŸ” 🧲
krim PERSON 1 πŸ“Š πŸ” 🧲
lee kemp PERSON 1 πŸ“Š πŸ” 🧲
linkedin share PERSON 1 πŸ“Š πŸ” 🧲
michael tilley PERSON 1 πŸ“Š πŸ” 🧲
opens ORG 1 πŸ“Š πŸ” 🧲
print email PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.6200 πŸ“Š 🧲
Business, Companies 0.1800 πŸ“Š 🧲
Civil Unrest, Conflict 0.1700 πŸ“Š 🧲
Technology 0.0300 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
2026-06-11 21:54:34+00 Politics talkbusiness.net Fort Smith city administrator search has 13 candidates Analyze Michael Tilley 😐 neutral 0.1134