Text & Content Analysis

Context: entity (our downtown needs us)  |  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
our downtown needs us
Window
Last 7 days
Articles
1
From
2026-07-28 02:59:36+00
To
2026-07-28 02:59:36+00
Range
2026-07-21 08:37:55.709074+00 β†’ 2026-07-28 08:37:55.709074+00
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.3500 πŸ“Š 🧲
Environment, Climate 0.3100 πŸ“Š 🧲
Business, Companies 0.1900 πŸ“Š 🧲
Technology 0.1300 πŸ“Š 🧲
Civil Unrest, Conflict 0.0200 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
2026-07-28 02:59:36+00 Business wctv.tv β€˜Our downtown needs us’: Monticello business leaders ask community to support local businesses Analyze Julia Miller 😐 neutral 0.1266