Text & Content Analysis

Context: entity (john erb)  |  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
john erb
Window
Last 24h
Articles
1
From
Mon, Sep 28 β€’ 10:49 AM EDT
To
Mon, Sep 28 β€’ 10:49 AM EDT
Range
Mon, Sep 28 β€’ 4:00 AM EDT β†’ Tue, Sep 29 β€’ 4:00 AM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4600 πŸ“Š 🧲
Friends and Family 0.3300 πŸ“Š 🧲
Business, Companies 0.1400 πŸ“Š 🧲
Environment, Climate 0.0700 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
2026-09-28 14:49:14+00 Business poetsandquantsforundergrads.com At Michigan Ross, A $4.9M Grant Is Connecting Business With Climate Action Analyze Meghan Marrin 😐 neutral 0.1846