Text & Content Analysis

Context: entity (substack)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
substack
Window
Last 7 days
Articles
2
From
2026-03-22 12:00:03+00
To
2026-03-24 02:54:06+00
Range
2026-03-21 19:07:18.716499+00 β†’ 2026-03-28 19:07:18.716499+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
substack ORG 2 πŸ“Š πŸ” 🧲
a few minutes later the evening TIME 1 πŸ“Š πŸ” 🧲
aaron pott PERSON 1 πŸ“Š πŸ” 🧲
abigail spanberger PERSON 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
albert bichot PERSON 1 πŸ“Š πŸ” 🧲
amanda yen PERSON 1 πŸ“Š πŸ” 🧲
argentina GPE 1 πŸ“Š πŸ” 🧲
arvind vasudevan PERSON 1 πŸ“Š πŸ” 🧲
bi ORG 1 πŸ“Š πŸ” 🧲
bi gen PERSON 1 πŸ“Š πŸ” 🧲
big house ORG 1 πŸ“Š πŸ” 🧲
blake PERSON 1 πŸ“Š πŸ” 🧲
blanc de noir ORG 1 πŸ“Š πŸ” 🧲
blau PERSON 1 πŸ“Š πŸ” 🧲
blau franc PERSON 1 πŸ“Š πŸ” 🧲
blaufrankisch GPE 1 πŸ“Š πŸ” 🧲
blue bee cidery PERSON 1 πŸ“Š πŸ” 🧲
bonny doon vineyard take me PERSON 1 πŸ“Š πŸ” 🧲
bordeaux PERSON 1 πŸ“Š πŸ” 🧲
bordeauxs institute doenologie ORG 1 πŸ“Š πŸ” 🧲
burgundy PERSON 1 πŸ“Š πŸ” 🧲
business insider today ORG 1 πŸ“Š πŸ” 🧲
ca WORK_OF_ART 1 πŸ“Š πŸ” 🧲
cabernet franc PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
dmwineline.substack.com 1 50.00 πŸ“Š πŸ“° 🧲
linkedin.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.9800 πŸ“Š 🧲
Government 0.2800 πŸ“Š 🧲
Food and Beverage 0.2300 πŸ“Š 🧲
Technology 0.2200 πŸ“Š 🧲
Environment, Climate 0.1900 πŸ“Š 🧲
Entertainment 0.0400 πŸ“Š 🧲
Political Theatre 0.0200 πŸ“Š 🧲
Friends and Family 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-24 02:54:06+00 Politics dmwineline.substack.com We disagreed on politics. We agreed on wine. That was enough. Analyze Dave McIntyre 😐 neutral 0.2555
2026-03-22 12:00:03+00 Business linkedin.com Gen Z really, really loves China's trains Analyze LinkedInEditors 😐 neutral 0.2054