Text & Content Analysis

Context: entity (write)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 3 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
write
Window
Last 30 days
Articles
3
From
Sat, Aug 29 β€’ 9:30 AM EDT
To
Fri, Sep 11 β€’ 4:00 AM EDT
Range
Tue, Aug 25 β€’ 5:27 PM EDT β†’ Thu, Sep 24 β€’ 5:27 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
columbiamissourian.com 2 66.67 πŸ“Š πŸ“° 🧲
e3mag.com 1 33.33 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 1.4500 πŸ“Š 🧲
Entertainment 0.4400 πŸ“Š 🧲
Business, Companies 0.4100 πŸ“Š 🧲
Health 0.3100 πŸ“Š 🧲
Environment, Climate 0.2000 πŸ“Š 🧲
Technology 0.2000 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
πŸ™‚ Positive 2 πŸ“Š 🧲
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-09-11 08:00:00+00 Business e3mag.com SAP's Service Partner Ecosystem Needs a New Business Model Analyze Joachim Hackmann, PAC 😐 neutral 0.1239
2026-09-07 20:30:00+00 Politics columbiamissourian.com Labor unions are growing, but where depends on state politics Analyze Kevin Hardy, Stateline πŸ™‚ positive 0.4793
2026-08-29 13:30:00+00 Business columbiamissourian.com Business roundup: New stores and restaurants land in Columbia Analyze Mikalah Owens, Columbia Missourian πŸ™‚ positive 0.3614